418 Data Professional jobs in Bangalore
Data Engineering, Associate
Bangalore, Karnataka
BlackRock
Posted today
Job Viewed
Job Description
**About this role**
At BlackRock, technology has always been at the core of what we do - and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you'll find an environment that promotes working across teams, businesses, regions and specialties - and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world.
We are seeking a highly skilled and motivated Senior level Data Engineer to join the Private Market Data Engineering team within Aladdin Data at BlackRock for driving our Private Market Data Engineering vision of making private markets more accessible and transparent for clients. In this role, you will work multi-functionally with Product, Data Research, Engineering, and Program management.
Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. The candidate will have extensive experience in developing data pipelines using Python, Java, Apache Airflow orchestration platform, DBT (Data Build Tool), Great Expectations for data validation, Apache Spark, MongoDB, Elasticsearch, Snowflake and PostgreSQL. In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines. You will collaborate with various stakeholders to ensure the data pipelines are efficient, reliable, and meet the needs of the business.
**Key Responsibilities**
+ Design, develop, and maintain data pipelines using Aladdin Data Enterprise Data Platform framework
+ Develop ETL/ELT data pipelines using Python, SQL and deploy them as containerized apps on a Kubernetes cluster
+ Develop API for data distribution on top of the standard data model of the Enterprise Data Platform
+ Design and develop optimized back-end services in Java / Python for APIs to handle faster data retrieval and optimized processing
+ Develop reusable back-end services for data pipeline processing in Python / Java
+ Develop data transformation using DBT (Data Build Tool) with SQL or Python
+ Ensure data quality and integrity through automated testing and validation using tools like Great Expectations
+ Implement all observability requirements in the data pipeline
+ Optimize data workflows for performance and scalability
+ Monitor and troubleshoot data pipeline issues, ensuring timely resolution
+ Document data engineering processes and best practices whenever required
**Required Skills and Qualifications**
+ Must have 5 to 8 years of experience in data engineering, with a focus on building data pipelines and Data Services APIs
+ Strong server-side programming skills in Python and/or Java.
+ Experience working with backend microservices and APIs using Java and/or Python
+ Experience with Apache Airflow or any other orchestration framework for data orchestration
+ Proficiency in DBT for data transformation and modeling
+ Experience with data quality validation tools like Great Expectations or any other similar tools
+ Strong at writing SQL and experience with relational databases like SQL Server, PostgreSQL
+ Experience with cloud-based data warehouse platform like Snowflake
+ Experience working on NoSQL databases like Elasticsearch and MongoDB
+ Experience working with container orchestration platform like Kubernetes on AWS and/or Azure cloud environments
+ Experience on Cloud platforms like AWS and/or Azure
+ Ability to work collaboratively in a team environment
+ Need to possess critical skills of being detail oriented, passion to learn new technologies and good analytical and problem-solving skills
+ Experience with Financial Services application is a plus
+ Effective communication skills, both written and verbal
+ Bachelor's or Master's degree in computer science, Engineering, or a related field
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock ( | Twitter: @blackrock ( | LinkedIn: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
At BlackRock, technology has always been at the core of what we do - and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you'll find an environment that promotes working across teams, businesses, regions and specialties - and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world.
We are seeking a highly skilled and motivated Senior level Data Engineer to join the Private Market Data Engineering team within Aladdin Data at BlackRock for driving our Private Market Data Engineering vision of making private markets more accessible and transparent for clients. In this role, you will work multi-functionally with Product, Data Research, Engineering, and Program management.
Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation, consumption and infrastructure are ideal candidates. The candidate will have extensive experience in developing data pipelines using Python, Java, Apache Airflow orchestration platform, DBT (Data Build Tool), Great Expectations for data validation, Apache Spark, MongoDB, Elasticsearch, Snowflake and PostgreSQL. In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines. You will collaborate with various stakeholders to ensure the data pipelines are efficient, reliable, and meet the needs of the business.
**Key Responsibilities**
+ Design, develop, and maintain data pipelines using Aladdin Data Enterprise Data Platform framework
+ Develop ETL/ELT data pipelines using Python, SQL and deploy them as containerized apps on a Kubernetes cluster
+ Develop API for data distribution on top of the standard data model of the Enterprise Data Platform
+ Design and develop optimized back-end services in Java / Python for APIs to handle faster data retrieval and optimized processing
+ Develop reusable back-end services for data pipeline processing in Python / Java
+ Develop data transformation using DBT (Data Build Tool) with SQL or Python
+ Ensure data quality and integrity through automated testing and validation using tools like Great Expectations
+ Implement all observability requirements in the data pipeline
+ Optimize data workflows for performance and scalability
+ Monitor and troubleshoot data pipeline issues, ensuring timely resolution
+ Document data engineering processes and best practices whenever required
**Required Skills and Qualifications**
+ Must have 5 to 8 years of experience in data engineering, with a focus on building data pipelines and Data Services APIs
+ Strong server-side programming skills in Python and/or Java.
+ Experience working with backend microservices and APIs using Java and/or Python
+ Experience with Apache Airflow or any other orchestration framework for data orchestration
+ Proficiency in DBT for data transformation and modeling
+ Experience with data quality validation tools like Great Expectations or any other similar tools
+ Strong at writing SQL and experience with relational databases like SQL Server, PostgreSQL
+ Experience with cloud-based data warehouse platform like Snowflake
+ Experience working on NoSQL databases like Elasticsearch and MongoDB
+ Experience working with container orchestration platform like Kubernetes on AWS and/or Azure cloud environments
+ Experience on Cloud platforms like AWS and/or Azure
+ Ability to work collaboratively in a team environment
+ Need to possess critical skills of being detail oriented, passion to learn new technologies and good analytical and problem-solving skills
+ Experience with Financial Services application is a plus
+ Effective communication skills, both written and verbal
+ Bachelor's or Master's degree in computer science, Engineering, or a related field
**Our benefits**
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
**Our hybrid work model**
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
**About BlackRock**
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock ( | Twitter: @blackrock ( | LinkedIn: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
This advertiser has chosen not to accept applicants from your region.
0
Data Engineering Role
Bangalore, Karnataka
100x.inc
Posted today
Job Viewed
Job Description
Minimum Requirements:
- At least 3 years of professional experience in Data Engineering
- Demonstrated end-to-end ownership of ETL pipelines
- Deep, hands-on experience with AWS services: EC2, Athena, Lambda, and Step Functions (non-negotiable)
- Strong proficiency in MySQL (non-negotiable)
- Working knowledge of Docker: setup, deployment, and troubleshooting
Highly Preferred Skills:
- Experience with orchestration tools such as Airflow or similar
- Hands-on with PySpark
- Familiarity with the Python data ecosystem: SQLAlchemy, DuckDB, PyArrow, Pandas, NumPy
- Exposure to DLT (Data Load Tool)
Ideal Candidate Profile:
The role demands a builder’s mindset over a maintainer’s. Independent contributors with clear, efficient communication thrive here. Those who excel tend to embrace fast-paced startup environments, take true ownership, and are motivated by impact—not just lines of code. Candidates are expected to include the phrase Red Panda in their application to confirm they’ve read this section in full.
Key Responsibilities:
- Architect, build, and optimize scalable data pipelines and workflows
- Manage AWS resources end-to-end: from configuration to optimization and debugging
- Work closely with product and engineering to enable high-velocity business impact
- Automate and scale data processes—manual workflows are not part of the culture
- Build foundational data systems that drive critical business decisions
Compensation range: ₹8.4–12 LPA (fixed base), excluding equity, performance bonus, and revenue share components.
This advertiser has chosen not to accept applicants from your region.
1
Data Engineering Developer - Data Core
Bangalore, Karnataka
3M
Posted today
Job Viewed
Job Description
3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.
**Job Description:**
**Primary Responsibilities** include but are not limited to the following:
**Responsibilities:**
+ Analyzes, designs, develops, tests, and supports Data platform configuration and management
+ Reviews platform user requirements and develops technical architectural design documents to implement functionality needed
+ Learn and understand existing and new platform capabilities to use efficiently and effectively
+ Scripting and automating jobs across platforms to identify issues to fix and optimize
+ Data platform configuration, optimization and support
+ Security design and implementation
+ Oversight and governance of platform capabilities
+ Participates actively in local and global teams
**Requirements:**
+ Bachelor's Degree in Computer Science or Technology from an accredited university or equivalent combination of education and experience
+ 4-6years of experience in data platforms particularly on Snowflake, HANA, Azure, AWS or relevant data platform technologies
+ Experience in Snowflakemodeling, advanced SQL scripting, expert performance tuning
+ Experience in Relational Databases and concepts
+ Detail oriented, self-directed and have strong independent problem-solving and multi-tasking skills
+ Fluent in English (verbal and written communication)
+ Certification in Snowflake, Databricks, Azure, AWS, HANA is a plus
+ Have a strong background and interest in technology
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
**Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.**
**3M Global Terms of Use and Privacy Statement**
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.
Please access the linked document by clicking here ( , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
**Job Description:**
**Primary Responsibilities** include but are not limited to the following:
**Responsibilities:**
+ Analyzes, designs, develops, tests, and supports Data platform configuration and management
+ Reviews platform user requirements and develops technical architectural design documents to implement functionality needed
+ Learn and understand existing and new platform capabilities to use efficiently and effectively
+ Scripting and automating jobs across platforms to identify issues to fix and optimize
+ Data platform configuration, optimization and support
+ Security design and implementation
+ Oversight and governance of platform capabilities
+ Participates actively in local and global teams
**Requirements:**
+ Bachelor's Degree in Computer Science or Technology from an accredited university or equivalent combination of education and experience
+ 4-6years of experience in data platforms particularly on Snowflake, HANA, Azure, AWS or relevant data platform technologies
+ Experience in Snowflakemodeling, advanced SQL scripting, expert performance tuning
+ Experience in Relational Databases and concepts
+ Detail oriented, self-directed and have strong independent problem-solving and multi-tasking skills
+ Fluent in English (verbal and written communication)
+ Certification in Snowflake, Databricks, Azure, AWS, HANA is a plus
+ Have a strong background and interest in technology
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
**Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.**
**3M Global Terms of Use and Privacy Statement**
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.
Please access the linked document by clicking here ( , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
This advertiser has chosen not to accept applicants from your region.
2
Sr Director, Data Engineering
Bangalore, Karnataka
PVH Corp.
Posted today
Job Viewed
Job Description
**About Us:**
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That's the Power of Us, that's the Power of PVH+.
One of PVH's greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH **here ( .
**Position Overview**
As the **Sr Director of Data Engineering** , you will provide enterprise leadership for PVH's data engineering initiatives and play a critical role in transforming how data is ingested, integrated, and delivered to power decision-making across the company. This role leads the design, development, and governance of enterprise-scale data platforms as part of the **PVH Data Powerhouse initiative** , PVH's enterprise-wide modernization program consolidating legacy BI and data solutions into a unified, governed, and scalable data ecosystem on Microsoft Azure with defined integration points to AWS.
You will be accountable for the enterprise data architecture, semantic modeling standards, and operational performance of data platforms, ensuring solutions are designed, governed, and optimized to maximize business value. In partnership with Enterprise Architecture, Data Product Owners, and senior business leaders, you will define and enforce data engineering standards, oversee the migration and rationalization of legacy data pipelines and integrations, and enable scalable, high-quality data products across PVH's global brands (Calvin Klein, Tommy Hilfiger) and corporate functions.
This is a leadership role that requires not only deep technical expertise but also vision, executive influence, and people leadership. You will lead a team of data engineers, platform architects, and data integration specialists, set enterprise-wide standards, and champion the Data Powerhouse transformation at the highest levels of the organization.
**Key Responsibilities**
· **Visionary Leadership:** Define and execute PVH's enterprise data engineering strategy to advance the Data Powerhouse initiative, ensuring alignment with organizational objectives and business outcomes.
· **Team Leadership & Development:** Lead, mentor, and scale a high-performing team of data engineers, architects, and integration specialists, fostering a culture of innovation, technical excellence, and collaboration.
· **Enterprise Architecture & Solution Oversight:** Architect and oversee the implementation of scalable, secure, and high-performance data platforms and pipelines across the enterprise, leveraging Azure data services, Data bricks, and other cloud technologies.
· **Data Product Enablement:** Collaborate with Data Product Managers, Analytics Leaders, and Business Executives to translate strategic business priorities into technical solutions that accelerate insights and innovation.
· **Data Governance & Compliance:** Establish and enforce enterprise-wide standards for data governance, security, and regulatory compliance, ensuring all data platforms and pipelines meet rigorous quality and operational standards.
· **Optimization & Performance Management:** Drive best practices in data modeling, ETL/ELT processes, and platform optimization to maximize the performance, scalability, and reliability of enterprise data assets.
· **Cross-Functional Collaboration:** Act as a trusted advisor to senior leadership, providing technical guidance, architectural review, and thought leadership to advance enterprise data capabilities.
· **Operational Excellence:** Implement enterprise-level monitoring, observability, and operational controls to ensure the integrity, availability, and reliability of data solutions.
**Qualifications & Skills**
**Required**
· 12+ years of progressive experience in data engineering, with at least 5 years in a senior leadership role.
· Proven expertise in AWS & Azure data services, including Azure Data Factory, Azure Databricks, and Azure Synapse, with hands-on experience driving enterprise adoption.
· Deep technical knowledge of SQL, Python, distributed data processing frameworks, and modern data architectures.
· Strong understanding of enterprise data governance, data cataloging, metadata management, and regulatory compliance.
· Demonstrated ability to lead and scale high-performing technical teams while influencing business stakeholders and driving transformational initiatives.
· Experience implementing CI/CD pipelines for data workflows and enterprise-grade data operations.
· Exceptional foresight, problem-solving, and executive-level communication skills.
**Preferred**
· Experience with real-time data streaming, event-driven architectures, or operational analytics.
· Familiarity with enterprise data catalog, lineage, and metadata management tools within Azure.
· Azure Data Engineer or Azure Solutions Architect certification.
**Reporting Line & Location**
· Reports to: Vice President, Data & Analytics
o **Other team members of CDA** (Commercial Data & Analytics) - Senior Vice President Commercial Data & Analytics organization
· Location(s):
o Bangalore, India (Approx 10-12 +)
· Direct Reports:
o **Data Engineers** - Located in Bangalore, India
**Why This Role**
This is a high-impact, enterprise leadership role responsible for shaping PVH's data engineering landscape. The Director of Data Engineering will ensure all enterprise data assets are scalable, secure, governed, and fully aligned with the strategic objectives of the **Data Powerhouse initiative** , enabling PVH to achieve data-driven innovation, operational excellence, and measurable business outcomes across its global brands and corporate functions.
_PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential._
DIVERSITY & EQUAL OPPORTUNITY We are committed to recruiting, training and providing career advancement to all associates regardless of gender, race, religion, age, disability, sexual orientation, nationality, or social or ethnic origin. Diversity in the workplace is encouraged. Bigotry, racism and any form of harassment or discrimination is not tolerated.
We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That's the Power of Us, that's the Power of PVH+.
One of PVH's greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH **here ( .
**Position Overview**
As the **Sr Director of Data Engineering** , you will provide enterprise leadership for PVH's data engineering initiatives and play a critical role in transforming how data is ingested, integrated, and delivered to power decision-making across the company. This role leads the design, development, and governance of enterprise-scale data platforms as part of the **PVH Data Powerhouse initiative** , PVH's enterprise-wide modernization program consolidating legacy BI and data solutions into a unified, governed, and scalable data ecosystem on Microsoft Azure with defined integration points to AWS.
You will be accountable for the enterprise data architecture, semantic modeling standards, and operational performance of data platforms, ensuring solutions are designed, governed, and optimized to maximize business value. In partnership with Enterprise Architecture, Data Product Owners, and senior business leaders, you will define and enforce data engineering standards, oversee the migration and rationalization of legacy data pipelines and integrations, and enable scalable, high-quality data products across PVH's global brands (Calvin Klein, Tommy Hilfiger) and corporate functions.
This is a leadership role that requires not only deep technical expertise but also vision, executive influence, and people leadership. You will lead a team of data engineers, platform architects, and data integration specialists, set enterprise-wide standards, and champion the Data Powerhouse transformation at the highest levels of the organization.
**Key Responsibilities**
· **Visionary Leadership:** Define and execute PVH's enterprise data engineering strategy to advance the Data Powerhouse initiative, ensuring alignment with organizational objectives and business outcomes.
· **Team Leadership & Development:** Lead, mentor, and scale a high-performing team of data engineers, architects, and integration specialists, fostering a culture of innovation, technical excellence, and collaboration.
· **Enterprise Architecture & Solution Oversight:** Architect and oversee the implementation of scalable, secure, and high-performance data platforms and pipelines across the enterprise, leveraging Azure data services, Data bricks, and other cloud technologies.
· **Data Product Enablement:** Collaborate with Data Product Managers, Analytics Leaders, and Business Executives to translate strategic business priorities into technical solutions that accelerate insights and innovation.
· **Data Governance & Compliance:** Establish and enforce enterprise-wide standards for data governance, security, and regulatory compliance, ensuring all data platforms and pipelines meet rigorous quality and operational standards.
· **Optimization & Performance Management:** Drive best practices in data modeling, ETL/ELT processes, and platform optimization to maximize the performance, scalability, and reliability of enterprise data assets.
· **Cross-Functional Collaboration:** Act as a trusted advisor to senior leadership, providing technical guidance, architectural review, and thought leadership to advance enterprise data capabilities.
· **Operational Excellence:** Implement enterprise-level monitoring, observability, and operational controls to ensure the integrity, availability, and reliability of data solutions.
**Qualifications & Skills**
**Required**
· 12+ years of progressive experience in data engineering, with at least 5 years in a senior leadership role.
· Proven expertise in AWS & Azure data services, including Azure Data Factory, Azure Databricks, and Azure Synapse, with hands-on experience driving enterprise adoption.
· Deep technical knowledge of SQL, Python, distributed data processing frameworks, and modern data architectures.
· Strong understanding of enterprise data governance, data cataloging, metadata management, and regulatory compliance.
· Demonstrated ability to lead and scale high-performing technical teams while influencing business stakeholders and driving transformational initiatives.
· Experience implementing CI/CD pipelines for data workflows and enterprise-grade data operations.
· Exceptional foresight, problem-solving, and executive-level communication skills.
**Preferred**
· Experience with real-time data streaming, event-driven architectures, or operational analytics.
· Familiarity with enterprise data catalog, lineage, and metadata management tools within Azure.
· Azure Data Engineer or Azure Solutions Architect certification.
**Reporting Line & Location**
· Reports to: Vice President, Data & Analytics
o **Other team members of CDA** (Commercial Data & Analytics) - Senior Vice President Commercial Data & Analytics organization
· Location(s):
o Bangalore, India (Approx 10-12 +)
· Direct Reports:
o **Data Engineers** - Located in Bangalore, India
**Why This Role**
This is a high-impact, enterprise leadership role responsible for shaping PVH's data engineering landscape. The Director of Data Engineering will ensure all enterprise data assets are scalable, secure, governed, and fully aligned with the strategic objectives of the **Data Powerhouse initiative** , enabling PVH to achieve data-driven innovation, operational excellence, and measurable business outcomes across its global brands and corporate functions.
_PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential._
DIVERSITY & EQUAL OPPORTUNITY We are committed to recruiting, training and providing career advancement to all associates regardless of gender, race, religion, age, disability, sexual orientation, nationality, or social or ethnic origin. Diversity in the workplace is encouraged. Bigotry, racism and any form of harassment or discrimination is not tolerated.
This advertiser has chosen not to accept applicants from your region.
3
Software Developer - Data Engineering
Bangalore, Karnataka
IBM
Posted today
Job Viewed
Job Description
**Introduction**
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
Advanced Programming Skills in Python,Scala,Go: Strong expertise in developing and maintaining microservices in Go (or other similar languages), with the ability to lead and mentor others in this area.
* Extensive exposure in developing Big Data Applications ,Data Engineering ,ETL and Data Analytics .
* Cloud Expertise: In-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of deploying and managing cloud-native applications.
Leadership and Collaboration: Ability to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. * Security and Compliance: Strong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements.
* Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment.
**Required technical and professional expertise**
* 4-7 years' experience primarily in using Apache Spark, Kafka and SQL preferably in Data Engineering projects with a strong TDD approach.
* Advanced Programming Skills in languages like Python ,Java , Scala with proficiency in SQL
* Extensive exposure in developing Big Data Applications, Data Engineering, ETL ETL tools and Data Analytics.
* Exposure in Data Modelling, Data Quality and Data Governance.
* Extensive exposure in Creating and maintaining Data pipelines - workflows to move data from various sources into data warehouses or data lakes.
* Cloud Expertise: In-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of developing, deploying and managing cloud-native applications.
* Good to have Front-End Development experience: React, Carbon, and Node for managing and improving user-facing portals.
* Leadership and Collaboration: Ability to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members.
* Security and Compliance: Strong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements.
* Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment.
**Preferred technical and professional experience**
* Hands on experience with Data Analysis & Querying using SQLs and considerable exposure to ETL processes.
* Expertise in developing Cloud applications with High Volume Data processing.
* Worked on building scalable Microservices components using various API development frameworks.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
Advanced Programming Skills in Python,Scala,Go: Strong expertise in developing and maintaining microservices in Go (or other similar languages), with the ability to lead and mentor others in this area.
* Extensive exposure in developing Big Data Applications ,Data Engineering ,ETL and Data Analytics .
* Cloud Expertise: In-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of deploying and managing cloud-native applications.
Leadership and Collaboration: Ability to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members. * Security and Compliance: Strong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements.
* Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment.
**Required technical and professional expertise**
* 4-7 years' experience primarily in using Apache Spark, Kafka and SQL preferably in Data Engineering projects with a strong TDD approach.
* Advanced Programming Skills in languages like Python ,Java , Scala with proficiency in SQL
* Extensive exposure in developing Big Data Applications, Data Engineering, ETL ETL tools and Data Analytics.
* Exposure in Data Modelling, Data Quality and Data Governance.
* Extensive exposure in Creating and maintaining Data pipelines - workflows to move data from various sources into data warehouses or data lakes.
* Cloud Expertise: In-depth knowledge of IBM Cloud or similar cloud platforms, with a proven track record of developing, deploying and managing cloud-native applications.
* Good to have Front-End Development experience: React, Carbon, and Node for managing and improving user-facing portals.
* Leadership and Collaboration: Ability to lead cross-functional teams, work closely with product owners, and drive platform enhancements while mentoring junior team members.
* Security and Compliance: Strong understanding of security best practices and compliance standards, with experience ensuring that platforms meet or exceed these requirements.
* Analytical and Problem-Solving Skills: Excellent problem-solving abilities with a proven track record of resolving complex issues in a multi-tenant environment.
**Preferred technical and professional experience**
* Hands on experience with Data Analysis & Querying using SQLs and considerable exposure to ETL processes.
* Expertise in developing Cloud applications with High Volume Data processing.
* Worked on building scalable Microservices components using various API development frameworks.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
4
Practice Head - Data Engineering
Bangalore, Karnataka
Saaki Argus and Averil Consulting
Posted today
Job Viewed
Job Description
Role: Practice Head - Data Engineering
Experience : 20+ years
Location; Multiple Locations across India (Chennai, Bengaluru, Gurgaon, Noida, Hyderabad, Kolkata, Pune, Mumbai, etc.)
Role Summary:
We are looking for an accomplished Practice Head – Data Engineering to lead our Data Engineering practice , define its strategic direction, and drive excellence in solution design, delivery, and innovation . The ideal candidate will have deep expertise in data architecture, modern data platforms, and cloud ecosystems , with a proven ability to scale teams and drive large transformation programs .
Responsibilities
- Provide visionary and hands-on leadership to Data Engineering and Analytics teams , driving the delivery of data products, pipelines, and solutions that power enterprise BI, advanced analytics, and AI/ML initiatives.
- Build , mentor , and scale high-performing data engineering & Analytics teams across technologies and domains.
- Drive competency development , best practices, and thought leadership within the practice
- Partner with business and sales teams to define solution offerings, respond to RFPs, and support pre-sales activities.
- Engage with clients as a trusted advisor to define their data strategy and modernization roadmap
- Drive revenue growth through new solution offerings and partnerships.
- Build and nurture a high-performing, inclusive team through strategic hiring, coaching, and mentoring, fostering a culture of innovation and continuous learning.
- Demonstrate proven success in leading distributed teams, driving organizational change, and scaling engineering functions in dynamic environments.
- Lead modernization efforts across data architecture, embracing emerging technologies and evolving engineering practices to future-proof the organization.
- Promote cross-functional collaboration, transparency, and alignment, breaking down silos and driving shared ownership of outcomes.
- Represent the Data Engineering and Analytics function in enterprise forums, advocating for best practices, innovation, and architectural alignment.
Qualifications
- 20+ years of experience in data engineering and architecture, with at least 5 years in leadership or practice management roles
- Strong software/data engineering background, having started as an individual contributor and grown into senior leadership roles
- Proven experience in leading large, distributed teams , managing organizational change, and scaling engineering functions
- Deep understanding of data modeling, data computation frameworks, distributed systems, and big data architectures
- Experience in working with frameworks and automation tools provided by shared services teams
- Strong collaboration skills with the ability to partner across engineering, product, and business functions
- Excellent communication and stakeholder management skills; ability to represent the function internally and externally
- Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field
This advertiser has chosen not to accept applicants from your region.
5
Data Engineering Azure databricks
Bangalore, Karnataka
EXL
Posted today
Job Viewed
Job Description
Data Engineer (DE) Consultant is responsible for designing, developing, and maintaining data assets and data related products by liaising with multiple stakeholders.
Responsibilities:
- Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.
- Create the data integration and data diagram documentation.
- Lead the data validation, UAT and regression test for new data asset creation.
- Create and maintain data models, including schema design and optimization.
- Create and manage data pipelines that automate the flow of data, ensuring data quality and consistency.
Qualifications and Skills:
- Strong knowledge on Python and Pyspark
- Expectation is to have ability to write Pyspark scripts for developing data workflows.
- Strong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum
- Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.
- Familiarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.
- Expectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.
- Good working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.
- Expectation is to have strong problem-solving and troubleshooting skills.
- Expectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.
- Degree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.
- 4-7 years of experience in Data Engineer.
- Proficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.
- Experience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.
- Strong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to detail and accuracy.
This advertiser has chosen not to accept applicants from your region.
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6
Cloud Data Engineering - Databricks
Bangalore, Karnataka
Zensar Technologies
Posted 5 days ago
Job Viewed
Job Description
Description for Internal Candidates
Core Skills /Must Have
- Azure Databricks; Azure Data Factory; Azure SQL;
Primary / Should Have
- API integrations, SQL
Secondary / Could Have
- OneSpace
Key Responsibilities:
- Should be able to manage all the ISAD flow in PROD and UAT environment.
- Should be available 24*7 over the first 15 days of the month to support Month end loads.
- Should be able to debug if any issues occur during the loads
- Should be responsible for completing loads under SLA.
- Should raise incidents if any issues occur
- Should be able to coordinate with the release management team for all the release activities.
- Should work with Business teams if needed.
Qualifications:
- Bachelors degree in computer science, Information Technology, or a related field.
- 3-5 Years of Experience
- Proven troubleshooting skills with a focus on analysis and resolution of complex issues.
- Excellent communication and interpersonal skills, with the ability to interact effectively with technical and non-technical stakeholders.
- A quick learner with a proactive approach to problem-solving and the ability to work independently as well as part of a team.
This advertiser has chosen not to accept applicants from your region.
7
Senior Manager - Data Engineering Lead
Bangalore, Karnataka
Diageo
Posted today
Job Viewed
Job Description
**Job Description :**
**Job Title:** Senior Manager - Data Engineering Lead
**About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
**About the role:** Data Management roles are skills and expertise in the secure storage and management of data in compliance with guidelines, standards and best practice. They enable efficient and high quality data analysis by designing and implementing approaches to clean and transform data and store data in the most appropriate way.
**Purpose of Position:** We are seeking a highly skilled and experienced Data Engineering Lead to spearhead our data architecture strategy, oversee robust data engineering initiatives, and manage data lake operations. The ideal candidate will be a hands-on leader with deep expertise in building and optimizing data platforms that support advanced analytics and business intelligence at scale.
**Qualification:** Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
**Required skillset:**
+ Experience in data engineering.
+ Proven experience in cloud platforms (AWS, Azure, or GCP) and data services (Glue, Synapse, BigQuery, Databricks, etc.).
+ Hands-on experience with tools like Apache Spark, Kafka, Airflow, dbt, and modern orchestration platforms.
+ Technical Skills
+ Proficient in SQL, Python/Scala/Java.
+ Strong understanding of modern data Lake concepts (e.g., Snowflake, Redshift, BigQuery).
+ Familiarity with CI/CD, Infrastructure as Code (e.g., Terraform), and DevOps for data.
**Nice to Have:**
+ Prior experience working in a regulated industry (alcohol, pharma, tobacco, etc.).
+ Exposure to demand forecasting, route-to-market analytics, or distributor performance management.
+ Knowledge of CRM, ERP, or supply chain systems (e.g., Salesforce, SAP, Oracle).
+ Familiarity with marketing attribution models and campaign performance tracking.
**Preferred Attributes:**
+ Strong analytical and problem-solving skills.
+ Excellent communication and stakeholder engagement abilities.
+ Passion for data-driven innovation and delivering business impact.
+ Certification in cloud platforms or data engineering (e.g., Google Cloud Professional Data Engineer).
+ Excellent communication and stakeholder management skills.
**Key Accountabilities:**
+ Design and implement scalable, high-performance data architecture solutions aligned with enterprise strategy.
+ Define standards and best practices for data modelling, metadata management, and data governance.
+ Collaborate with business stakeholders, data scientists, and application architects to align data infrastructure with business needs.
+ Guide the selection of technologies, including cloud-native and hybrid data architecture patterns (e.g., Lambda/Kappa architectures).
+ Lead the development, deployment, and maintenance of end-to-end data pipelines using ETL/ELT frameworks.
+ Manage ingestion from structured and unstructured data sources (APIs, files, databases, streaming sources).
+ Optimize data workflows for performance, reliability, and cost efficiency.
+ Ensure data quality, lineage, cataloging, and security through automated validation and monitoring.
+ Oversee data lake design, implementation, and daily operations (e.g., Azure Data Lake, AWS S3, GCP BigLake).
+ Implement access controls, data lifecycle management, and partitioning strategies.
+ Monitor and manage performance, storage costs, and data availability in real time.
+ Ensure compliance with enterprise data policies and regulatory requirements (e.g., GDPR, CCPA).
+ Lead and mentor a team of data engineers and architects.
+ Establish a culture of continuous improvement, innovation, and operational excellence.
+ Work closely with IT, DevOps, and InfoSec teams to ensure secure and scalable infrastructure.
**Flexible Working Statement:** Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.
**Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you.
_If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore HO
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
**Job Title:** Senior Manager - Data Engineering Lead
**About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.
Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.
**About the role:** Data Management roles are skills and expertise in the secure storage and management of data in compliance with guidelines, standards and best practice. They enable efficient and high quality data analysis by designing and implementing approaches to clean and transform data and store data in the most appropriate way.
**Purpose of Position:** We are seeking a highly skilled and experienced Data Engineering Lead to spearhead our data architecture strategy, oversee robust data engineering initiatives, and manage data lake operations. The ideal candidate will be a hands-on leader with deep expertise in building and optimizing data platforms that support advanced analytics and business intelligence at scale.
**Qualification:** Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
**Required skillset:**
+ Experience in data engineering.
+ Proven experience in cloud platforms (AWS, Azure, or GCP) and data services (Glue, Synapse, BigQuery, Databricks, etc.).
+ Hands-on experience with tools like Apache Spark, Kafka, Airflow, dbt, and modern orchestration platforms.
+ Technical Skills
+ Proficient in SQL, Python/Scala/Java.
+ Strong understanding of modern data Lake concepts (e.g., Snowflake, Redshift, BigQuery).
+ Familiarity with CI/CD, Infrastructure as Code (e.g., Terraform), and DevOps for data.
**Nice to Have:**
+ Prior experience working in a regulated industry (alcohol, pharma, tobacco, etc.).
+ Exposure to demand forecasting, route-to-market analytics, or distributor performance management.
+ Knowledge of CRM, ERP, or supply chain systems (e.g., Salesforce, SAP, Oracle).
+ Familiarity with marketing attribution models and campaign performance tracking.
**Preferred Attributes:**
+ Strong analytical and problem-solving skills.
+ Excellent communication and stakeholder engagement abilities.
+ Passion for data-driven innovation and delivering business impact.
+ Certification in cloud platforms or data engineering (e.g., Google Cloud Professional Data Engineer).
+ Excellent communication and stakeholder management skills.
**Key Accountabilities:**
+ Design and implement scalable, high-performance data architecture solutions aligned with enterprise strategy.
+ Define standards and best practices for data modelling, metadata management, and data governance.
+ Collaborate with business stakeholders, data scientists, and application architects to align data infrastructure with business needs.
+ Guide the selection of technologies, including cloud-native and hybrid data architecture patterns (e.g., Lambda/Kappa architectures).
+ Lead the development, deployment, and maintenance of end-to-end data pipelines using ETL/ELT frameworks.
+ Manage ingestion from structured and unstructured data sources (APIs, files, databases, streaming sources).
+ Optimize data workflows for performance, reliability, and cost efficiency.
+ Ensure data quality, lineage, cataloging, and security through automated validation and monitoring.
+ Oversee data lake design, implementation, and daily operations (e.g., Azure Data Lake, AWS S3, GCP BigLake).
+ Implement access controls, data lifecycle management, and partitioning strategies.
+ Monitor and manage performance, storage costs, and data availability in real time.
+ Ensure compliance with enterprise data policies and regulatory requirements (e.g., GDPR, CCPA).
+ Lead and mentor a team of data engineers and architects.
+ Establish a culture of continuous improvement, innovation, and operational excellence.
+ Work closely with IT, DevOps, and InfoSec teams to ensure secure and scalable infrastructure.
**Flexible Working Statement:** Flexibility is key to our success. From part-time and compressed hours to different locations, our people work flexibly in ways to suit them. Talk to us about what flexibility means to you so that you're supported from day one.
**Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.
We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.
Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.
Feel inspired? Then this may be the opportunity for you.
_If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore HO
**Additional Locations :**
**Job Posting Start Date :**
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
This advertiser has chosen not to accept applicants from your region.
8
Technical Project Manager (Data Engineering)
Bangalore, Karnataka
Persistent Systems
Posted today
Job Viewed
Job Description
About Position:
Technical Project Manager .The Role in Brief We are seeking a seasoned Technical Project Manager (TPM) in India to lead and coordinate a high-performing offshore squad of data engineering contractors for our higher education client. You will serve as the primary point of contact between the offshore team and U.S.-based leadership, ensuring seamless execution of data engineering projects.
- Role: Technical Project Manager (Data Engineering)
- Location: Bangalore
- Experience: 12+yrs
- Job Type: Full Time Employment
What You'll Do:
- This role requires deep, hands-on expertise with SQL, DBT, Python, Snowflake, AWS, and various BI platforms to guide technical teams through implementation, debugging, and architectural decisions.
- Key Responsibilities Engineering Leadership: Manage multiple India-based squads, providing day-to-day guidance, coaching, and performance management. Foster a culture of technical excellence, ownership, and continuous improvement within the squad.
- Oversee onboarding and skill development for new team members. Cross-Shore Collaboration: Align squad priorities with U.S.-based data engineering leadership and product stakeholders, ensuring smooth handoffs and clear communication of technical requirements and deliverables.
- Serve as the primary liaison between offshore squads and U.S. teams, proactively addressing blockers and ensuring alignment on timelines and expectations.
- Technical Planning & Execution: Partner with U.S. data and analytics engineering leaders to translate business and analytical requirements into scalable, robust data solutions.
- Oversee the full Agile delivery lifecycle for data engineering projects, including planning, backlog grooming, estimation, sprint execution, and release coordination. Monitor project milestones, proactively surface and resolve risks, and ensure timely delivery of high-quality data solutions.
- Drive continuous improvement in squad Agile practices and delivery velocity.
Expertise You'll Bring:
- Participate in architecture and design reviews for data pipelines, data models, and cloud infrastructure. Assist with code reviews and troubleshooting. Guide the squad in troubleshooting complex data pipeline issues, performance tuning, and implementation best practices.
- Hands-on expertise required in: SQL DBT Python Snowflake AWS Cloud Infrastructure BI Agile Delivery Management:
- Stakeholder Management: Represent offshore squads in cross-functional discussions with Product and Engineering teams; ensure transparency, clear documentation, and timely status updates.
- Qualifications 8+ years of professional experience in data engineering, analytics engineering, or related technical roles.
- 4+ years of experience leading or managing distributed/global data engineering teams or squads.
- roven track record of managing complex data engineering projects from discovery through deployment.
- Hands-on expertise in: SQL, PostgreSQL, MySQL DBT Python Cloud data platforms (Snowflake, AWS) Data modeling, ETL, data pipeline design BI and analytics platforms (e.g., Tableau, PowerBI, GoodData) and analytics engineering best practices Git, and CI/CD practices
- Deep understanding of Agile methodologies (Scrum/Kanban) and experience running Agile ceremonies for data engineering teams.
- Excellent analytical, problem-solving, and communication skills with the ability to translate complex technical concepts to both technical and non-technical audiences.
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."
This advertiser has chosen not to accept applicants from your region.
9