239 Data Engineering Manager jobs in Hyderabad
Data Engineering Manager
Posted 3 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain. This role will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making.
**Roles & Responsibilities:**
+ Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division.
+ Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems.
+ Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance.
+ Drive the development of data tools and frameworks for managing and accessing data efficiently across the organization.
+ Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms.
+ Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness.
+ Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features.
+ Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices.
+ Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases.
+ Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives.
+ Prepare team members for stakeholder discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
+ Drive Agile and Scaled Agile (SAFe) methodologies, managing sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.
+ Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization leverages the latest innovations in data engineering and architecture.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in the R&D domain of biotech/pharma companies.
+ Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems.
+ Data Engineering experience in R&D for Biotechnology or pharma industry
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Proficiency in Python, PySpark, SQL.
+ Experience with dimensional data modeling.
+ Experience working with Apache Spark, Apache Airflow.
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
+ Experienced with AWS or GCP or Azure cloud services.
+ Understanding of end to end project/product life cycle
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Pharma is a plus
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Master's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 8 -10 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job
Data Engineering Manager
Posted 3 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ Doctorate Degree with 3-5 + years of experience in Computer Science, IT or related field
+ OR
+ Master's degree with 6 - 8 + years of experience in Computer Science, IT or related field
+ OR
+ Bachelor's degree with 10 - 12 + years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Data Engineering Manager
Posted 3 days ago
Job Viewed
Job Description
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
We are seeking a seasoned Engineering Manager (Data Engineering) to lead the end-to-end management of enterprise data assets and operational data workflows. This role is critical in ensuring the availability, quality, consistency, and timeliness of data across platforms and functions, supporting analytics, reporting, compliance, and digital transformation initiatives. You will be responsible for the day-to-day data operations, manage a team of data professionals, and drive process excellence in data intake, transformation, validation, and delivery. You will work closely with cross-functional teams including data engineering, analytics, IT, governance, and business stakeholders to align operational data capabilities with enterprise needs.
**Roles & Responsibilities:**
+ Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems.
+ Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets.
+ Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments.
+ Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements.
+ Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows.
+ Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls.
+ Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis.
+ Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives.
+ Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes.
+ Mentor and develop a high-performing team of data operations analysts and leads.
**Functional Skills:**
**Must-Have Skills:**
+ Experience managing a team of data engineers in biotech/pharma domain companies.
+ Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems.
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Experience managing data workflows in cloud environments such as AWS, Azure, or GCP.
+ Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions.
+ Working knowledge of SQL, Python, or scripting languages for process monitoring and automation.
+ Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization.
+ Familiarity with data governance, metadata management, access control, and regulatory requirements (e.g., GDPR, HIPAA, SOX).
+ Excellent leadership, communication, and stakeholder engagement skills.
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Good-to-Have Skills:**
+ Data Engineering Management experience in Biotech/Life Sciences/Pharma
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Education and Professional Certifications**
+ 9 to 12 years of experience in Computer Science, IT or related field
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to manage multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**EQUAL OPPORTUNITY STATEMENT**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Data Engineering Manager
Posted 3 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Engineering Manager**
**What you will do**
Let's do this. Let's change the world. In this vital role you will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making.
+ Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division.
+ Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems.
+ Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance.
+ Drive the development of data tools and frameworks for running and accessing data efficiently across the organization.
+ Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms.
+ Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness.
+ Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features.
+ Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices.
+ Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases.
+ Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives.
+ Prepare team members for key partner discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.
+ Drive Agile and Scaled Agile (SAFe) methodologies, handling sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.
+ Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization uses the latest innovations in data engineering and architecture.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain.
**Basic Qualifications:**
+ Doctorate degree **OR**
+ Master's degree and 4 to 6 years of experience in Computer Science, IT or related field **OR**
+ Bachelor's degree and 6 to 8 years of experience in Computer Science, IT or related field **OR**
+ Diploma and 10 to 12 years of experience in Computer Science, IT or related field
+ Experience leading a team of data engineers in the R&D domain of biotech/pharma companies.
+ Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems.
+ Data Engineering experience in R&D for Biotechnology or pharma industry
+ Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.
+ Proficiency in Python, PySpark, SQL.
+ Experience with dimensional data modeling.
+ Experience working with Apache Spark, Apache Airflow.
+ Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.
+ Experienced with AWS or GCP or Azure cloud services.
+ Understanding of end to end project/product life cycle
+ Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.
+ Strong analytical and problem-solving skills to address complex data challenges.
+ Effective communication and interpersonal skills to collaborate with cross-functional teams.
**Preferred Qualifications:**
+ AWS Certified Data Engineer preferred
+ Databricks Certificate preferred
+ Scaled Agile SAFe certification preferred
+ Project Management certifications preferred
+ Data Engineering Management experience in Biotech/Pharma is a plus
+ Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.
**Soft Skills:**
+ Excellent analytical and troubleshooting skills
+ Strong verbal and written communication skills
+ Ability to work effectively with global, virtual teams
+ High degree of initiative and self-motivation
+ Ability to handle multiple priorities successfully
+ Team-oriented, with a focus on achieving team goals
+ Strong presentation and public speaking skills
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Engineering Manager
Posted 2 days ago
Job Viewed
Job Description
The Data & Insights organization at Insight Global delivers Trusted Data & Verified Insights to drive strategic decision-making across the company. As the first Data Engineering Manager based in Hyderabad, India, you will play a foundational role in establishing and growing a high-performing offshore team. You will lead efforts to build and maintain the core data estate that powers Business Intelligence, Data Science, and Machine Learning use cases, while also overseeing platform operations and reliability.
Key Responsibilities
· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.
· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.
· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.
· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.
· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.
· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.
· Ensure data security and governance in partnership with Information Security and Data Governance teams.
· Champion Insight Global’s culture and shared values
Technical Focus
· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture
· Promote best practices in CI/CD, automated testing, and metadata management.
· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.
· Own operational dashboards, pipeline health monitoring, and incident response processes.
Qualifications
· Bachelor’s degree in a technical field.
· 10+ years of experience in data engineering, analytics, or data science.
· 5+ years of experience managing data engineering teams.
· Strong expertise in SQL, Python (PySpark), Databricks, and Azure Data Factory.
· Proven ability to structure data for analytics and machine learning.
· Excellent communication and collaboration skills across business and technical teams.
· Experience with Unity Catalog and data governance frameworks is preferred.
Data Engineering Manager
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities
· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.
· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.
· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.
· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.
· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.
· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.
· Ensure data security and governance in partnership with Information Security and Data Governance teams.
· Champion Insight Global’s culture and shared values
Technical Focus
· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture
· Promote best practices in CI/CD, automated testing, and metadata management.
· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.
· Own operational dashboards, pipeline health monitoring, and incident response processes.
Qualifications
· Bachelor’s degree in a technical field.
· 10+ years of experience in data engineering, analytics, or data science.
· 5+ years of experience managing data engineering teams.
· Strong expertise in SQL, Python (PySpark), Databricks, and Azure Data Factory.
· Proven ability to structure data for analytics and machine learning.
· Excellent communication and collaboration skills across business and technical teams.
· Experience with Unity Catalog and data governance frameworks is preferred.
Data Engineering Manager
Posted today
Job Viewed
Job Description
The Data & Insights organization at Insight Global delivers Trusted Data & Verified Insights to drive strategic decision-making across the company. As the first Data Engineering Manager based in Hyderabad, India, you will play a foundational role in establishing and growing a high-performing offshore team. You will lead efforts to build and maintain the core data estate that powers Business Intelligence, Data Science, and Machine Learning use cases, while also overseeing platform operations and reliability.
Key Responsibilities
· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.
· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.
· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.
· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.
· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.
· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.
· Ensure data security and governance in partnership with Information Security and Data Governance teams.
· Champion Insight Global’s culture and shared values
Technical Focus
· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture
· Promote best practices in CI/CD, automated testing, and metadata management.
· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.
· Own operational dashboards, pipeline health monitoring, and incident response processes.
Qualifications
· Bachelor’s degree in a technical field.
· 10+ years of experience in data engineering, analytics, or data science.
· 5+ years of experience managing data engineering teams.
· Strong expertise in SQL, Python (PySpark), Databricks, and Azure Data Factory.
· Proven ability to structure data for analytics and machine learning.
· Excellent communication and collaboration skills across business and technical teams.
· Experience with Unity Catalog and data governance frameworks is preferred.
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Data engineering manager
Posted 4 days ago
Job Viewed
Job Description
Key Responsibilities
· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.
· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.
· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.
· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.
· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.
· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.
· Ensure data security and governance in partnership with Information Security and Data Governance teams.
· Champion Insight Global’s culture and shared values
Technical Focus
· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture
· Promote best practices in CI/CD, automated testing, and metadata management.
· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.
· Own operational dashboards, pipeline health monitoring, and incident response processes.
Qualifications
· Bachelor’s degree in a technical field.
· 10+ years of experience in data engineering, analytics, or data science.
· 5+ years of experience managing data engineering teams.
· Strong expertise in SQL, Python (Py Spark), Databricks, and Azure Data Factory.
· Proven ability to structure data for analytics and machine learning.
· Excellent communication and collaboration skills across business and technical teams.
· Experience with Unity Catalog and data governance frameworks is preferred.
Data Engineering Manager
Posted 14 days ago
Job Viewed
Job Description
The Data & Insights organization at Insight Global delivers Trusted Data & Verified Insights to drive strategic decision-making across the company. As the first Data Engineering Manager based in Hyderabad, India, you will play a foundational role in establishing and growing a high-performing offshore team. You will lead efforts to build and maintain the core data estate that powers Business Intelligence, Data Science, and Machine Learning use cases, while also overseeing platform operations and reliability.
Key Responsibilities
· Serve as the founding Data Engineering Manager in Hyderabad, responsible for building and scaling the offshore team.
· Lead and mentor a growing team of Data Engineers, fostering a culture of innovation, accountability, and continuous improvement.
· Oversee both development and operations of the data platform, including monitoring, bug fixing, and SLA adherence.
· Drive Agile/Scrum best practices, conduct regular 1:1s, team meetings, and performance reviews to support career development.
· Define team growth strategy, manage capacity planning, and participate in hiring and onboarding.
· Collaborate with cross-functional partners in Product Strategy, Delivery, QA, Architecture, SRE, and Program Management.
· Ensure data security and governance in partnership with Information Security and Data Governance teams.
· Champion Insight Global’s culture and shared values
Technical Focus
· Lead team responsible for initiatives to retire SQL Server data pipelines and implement a modern Databricks Medallion Lakehouse architecture
· Promote best practices in CI/CD, automated testing, and metadata management.
· Support batch and streaming data environments, ensuring high performance and reliability, and data quality.
· Own operational dashboards, pipeline health monitoring, and incident response processes.
Qualifications
· Bachelor’s degree in a technical field.
· 10+ years of experience in data engineering, analytics, or data science.
· 5+ years of experience managing data engineering teams.
· Strong expertise in SQL, Python (PySpark), Databricks, and Azure Data Factory.
· Proven ability to structure data for analytics and machine learning.
· Excellent communication and collaboration skills across business and technical teams.
· Experience with Unity Catalog and data governance frameworks is preferred.
Data Engineering Manager
Posted today
Job Viewed
Job Description
Job Location: Hyderabad, Indore and Ahmedabad (India)
What You Will Do:
Following are high level responsibilities that you will play but not limited to:
· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.
· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.
· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.
· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.
· Work with large datasets and optimize queries and pipelines for performance and scalability.
· Ensure data quality, integrity, and availability throughout the data lifecycle.
· Automate repetitive data tasks, ensuring timely and accurate reporting.
· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.
· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.
· Write clear, efficient, and maintainable code for data transformations and automation.
Required Qualifications:
· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.
· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.
· Strong experience in Power BI, including report creation, dashboard development, and data modeling.
· Experience with SQL and database management (e.G., Azure SQL Database, SQL Server).
· Knowledge of cloud platforms, especially Microsoft Azure.
· Familiarity with data warehousing concepts and ETL processes.
· Experience working with cloud-based data storage solutions (e.G., Azure Data Lake, Azure Blob Storage).
· Strong programming skills in languages such as Python, SQL, or other relevant languages.
· Ability to troubleshoot and optimize data pipelines for performance and reliability.
Preferred Qualifications:
· Familiarity with data modeling techniques and practices for Power BI.
· Knowledge of Azure Databricks or other data processing frameworks.
· Knowledge of Microsoft Fabric or other Cloud Platforms.
What we need?
· B. Tech computer science or equivalent.
Why join us?
· Work with a passionate and innovative team in a fast-paced, growth-oriented environment.
· Gain hands-on experience in content marketing with exposure to real-world projects.
· Opportunity to learn from experienced professionals and enhance your marketing skills.
· Contribute to exciting initiatives and make an impact from day one.
· Competitive stipend and potential for growth within the company.
· Recognized for excellence in data and AI solutions with industry awards and accolades.