Explore exciting Data Engineer job opportunities in 803 Data Engineer jobs in Mumbai
Lead Data Engineer-Solution Architecture
Posted today
Job Viewed
Job Description
About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: .
About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow
With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Position Details
- Job Title : Lead Data Engineer-Solution Architecture
- Function/Department : Technology
- Location : Hyderabad/Bangalore/Bhubaneswar
- Employment Type : Full Time
Role Overview
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree preferred
- Minimum of 10 years’ experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains preferred.
- Proven track record of successful implementation of data architecture within large-scale transformation programs or projects
- Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices
- Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Informatica IICS, Databricks), change data capture and data streaming (Apache Kafka) technologies
- Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Databricks, ADF)
- Experience with cloud-based data architectures and platforms (e.g. ADLS, Synapse, Snowflake, Azure SQL Database)
- Familiarity with .NET Core and Python FastAPI or similar; hands on experience preferred.
- Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)
- Familiarity with authentication and authorization methods and frameworks (e.g. OAuth 2.0).
- Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines
- Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture
- Skilled in asynchronous programming patterns.
- Familiarity with containerization and microservices frameworks, such as Docker and Kubernetes.
- Proficient in utilizing Azure or other cloud services, including AKS, Cosmos NoSQL, Cognitive Search, SQL Database, ADLS, App Insights, and API Management.
- Familiar with DevSecOps practices and CI/CD tools, including Git, Azure DevOps, and Jenkins.
- Familiar with Kafka or similar messaging technologies.
- Familiar with GIS / geospatial systems and terminology preferred.
- Strong analytical and problem-solving capabilities.
- Experienced in producing technical documentation to support system design.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Familiarity with Agile methodologies and experience working in Agile project environments, including ceremonies and tools like JIRA.
Why Join Us?
- Be at the forefront of digital transformation in the insurance industry.
- Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
- Work alongside experienced professionals in a collaborative, innovation-driven environment.
Why Chubb?
Join Chubb to be part of a leading global insurance company!
Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
- Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
- A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years , and
- Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
- Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
- Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
Employee Benefits
Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
- Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
- Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
- Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
Application Process
Our recruitment process is designed to be transparent, and inclusive.
- Step 1 : Submit your application via the Chubb Careers Portal / .
- Step 2 : Engage with our recruitment team for an initial discussion.
- Step 3 : Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
- Step 4 : Final interaction with Chubb leadership.
Join Us
With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India’s journey .
Apply Now :
Lead Data Engineer-Solution Architecture
Posted today
Job Viewed
Job Description
About Chubb
Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: .
About Chubb India
At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow
With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
Position Details
- Job Title : Lead Data Engineer-Solution Architecture
- Function/Department : Technology
- Location : Hyderabad/Bangalore/Bhubaneswar
- Employment Type : Full Time
Role Overview
Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; Master’s degree preferred
- Minimum of 10 years’ experience in data architecture or data engineering roles, with a significant focus in P&C insurance domains preferred.
- Proven track record of successful implementation of data architecture within large-scale transformation programs or projects
- Comprehensive knowledge of data modelling techniques and methodologies, including data normalization and denormalization practices
- Hands on expertise across a wide variety of database (Azure SQL, MongoDB, Cosmos), data transformation (Informatica IICS, Databricks), change data capture and data streaming (Apache Kafka) technologies
- Proven Expertise with data warehousing concepts, ETL processes, and data integration tools (e.g., Informatica, Databricks, ADF)
- Experience with cloud-based data architectures and platforms (e.g. ADLS, Synapse, Snowflake, Azure SQL Database)
- Familiarity with .NET Core and Python FastAPI or similar; hands on experience preferred.
- Expertise in ensuring data security patterns (e.g. tokenization, encryption, obfuscation)
- Familiarity with authentication and authorization methods and frameworks (e.g. OAuth 2.0).
- Knowledge of insurance policy operations, regulations, and compliance frameworks specific to Consumer lines
- Understanding of advanced analytics, AI, and machine learning concepts as they pertain to data architecture
- Skilled in asynchronous programming patterns.
- Familiarity with containerization and microservices frameworks, such as Docker and Kubernetes.
- Proficient in utilizing Azure or other cloud services, including AKS, Cosmos NoSQL, Cognitive Search, SQL Database, ADLS, App Insights, and API Management.
- Familiar with DevSecOps practices and CI/CD tools, including Git, Azure DevOps, and Jenkins.
- Familiar with Kafka or similar messaging technologies.
- Familiar with GIS / geospatial systems and terminology preferred.
- Strong analytical and problem-solving capabilities.
- Experienced in producing technical documentation to support system design.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Familiarity with Agile methodologies and experience working in Agile project environments, including ceremonies and tools like JIRA.
Why Join Us?
- Be at the forefront of digital transformation in the insurance industry.
- Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.
- Work alongside experienced professionals in a collaborative, innovation-driven environment.
Why Chubb?
Join Chubb to be part of a leading global insurance company!
Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
- Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
- A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years , and
- Laser focus on excellence : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
- Start-Up Culture : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
- Growth and success : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment
Employee Benefits
Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
- Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
- Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
- Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
Application Process
Our recruitment process is designed to be transparent, and inclusive.
- Step 1 : Submit your application via the Chubb Careers Portal / .
- Step 2 : Engage with our recruitment team for an initial discussion.
- Step 3 : Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
- Step 4 : Final interaction with Chubb leadership.
Join Us
With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion , and are ready to make a difference, we invite you to be part of Chubb India’s journey .
Apply Now :
Data Engineer
Posted 15 days ago
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs
**How you will contribute**
You will:
+ Operationalize and automate activities for efficiency and timely production of data visuals
+ Assist in providing accessibility, retrievability, security and protection of data in an ethical manner
+ Search for ways to get new data sources and assess their accuracy
+ Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases
+ Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation
+ Validate information from multiple sources.
+ Assess issues that might prevent the organization from making maximum use of its information assets
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems
+ Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data
+ Ability to simplify complex problems and communicate to a broad audience
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It with Pride
**In This Role**
As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices.
**Role & Responsibilities:**
+ **Design and Build:** Develop and implement scalable, secure, and cost-effective cloud-based data solutions.
+ **Manage Data Pipelines:** Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes.
+ **Ensure Data Quality:** Implement data quality and validation processes to ensure data accuracy and integrity.
+ **Optimize** **Data Storage:** Ensure efficient data storage and retrieval for optimal performance.
+ **Collaborate and Innovate:** Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices.
**Technical Requirements:**
+ **Programming:** Python
+ **Database:** SQL, PL/SQL, Postgres SQL, Bigquery, Stored Procedure / Routines.
+ **ETL & Integration:** AecorSoft, Talend, DBT, Databricks (Optional),Fivetran.
+ **Data Warehousing:** SCD, Schema Types, Data Mart.
+ **Visualization:** PowerBI (Optional), Tableau (Optional), Looker.
+ **GCP Cloud Services:** Big Query, GCS.
+ **Supply Chain:** IMS + Shipment functional knowledge good to have.
+ **Supporting Technologies:** Erwin, Collibra, Data Governance, Airflow.
**Soft Skills:**
+ **Problem-Solving:** The ability to identify and solve complex data-related challenges.
+ **Communication:** Effective communication skills to collaborate with Product Owners, analysts, and stakeholders.
+ **Analytical Thinking:** The capacity to analyze data and draw meaningful insights.
+ **Attention to Detail:** Meticulousness in data preparation and pipeline development.
+ **Adaptability:** The ability to stay updated with emerging technologies and trends in the data **engineering field.**
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Data Engineer
Posted 15 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
An ELK(Elastic, Logstash & Kibana) Data Engineer is responsible for developing, implementing, and maintaining the ELK stack-based solutions within an organization. The engineer plays a crucial role in developing efficient and effective log processing, indexing, and visualization for monitoring, troubleshooting, and analysis purposes.
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset-a true data alchemist.
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made - and your lifecycle management expertise will ensure our data remains fresh and impactful.
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
+ BS or MS degree in Computer Science or a related technical field
+ 10+ years overall IT Industry Experience.
+ 5+ years of Python or Java development experience
+ 5+ years of SQL experience (No-SQL experience is a plus)
+ 4+ years of experience with schema design and dimensional data modelling
+ 3+ years of experience with Elastic, Logstash and Kibana Ability in managing and communicating data warehouse plans to internal clients.
+ Experience designing, building, and maintaining data processing systems.
+ Experience working with Machine Learning model is a plus. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
+ Elastic Certification is preferrable.
Preferred Skills and Experience
- Experience working with Machine Learning model is a plus.
- Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Elastic Certification is preferrable.
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl 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, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer
Posted today
Job Viewed
Job Description
Your potential, unleashed.
India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond.
At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
Job Summary
We are seeking a skilled and detail-oriented Data Engineer with deep expertise in Azure, SQL Server, and Databricks to design, build, and manage scalable data pipelines and enterprise data solutions. This role will be critical in supporting our analytics, reporting, and data science initiatives by delivering high-quality, reliable, and performant data systems.
Key Responsibilities
- Design, develop, and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
- Integrate data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
- Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
- Write efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
- Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
- Ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
- Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
- Implement CI/CD pipelines using Azure DevOps .
- Monitor and optimize the performance of data pipelines and queries across Azure and SQL Server environments.
Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
- 5+ years of experience in data engineering or related roles.
- Proven experience with:
- Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse
- Databricks (Azure implementation), including experience with Spark (Python or Scala).
- Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
- Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
- Familiarity with data governance, RBAC, and data security practices in Azure.
- Experience with CI/CD tools like Azure DevOps and version control with Git.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
How you’ll grow
Connect for impact
Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report .
Empower to lead
You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
Inclusion for all
At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
Drive your career
At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
Everyone’s welcome… entrust your happiness to us
Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you.
Interview tips
We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals.
Data Engineer
Posted 2 days ago
Job Viewed
Job Description
About the Company
We are one of the leading Niche IT Services companies working with Fortune 500 GCCs in India. Over the last 13 years, over 2000 experienced professionals have chosen to work with us. With operations in India, the Netherlands, and the USA, we have a global footprint that can provide suitable opportunities and growth paths.
Position:
Snowflake Data Engineer (Snowflake Developer)
Data Engineer with 3–4 years of experience in Snowflake and SQL
About the Role
Key Responsibilities:
- Implement data integration solutions using Snowflake Development, including data ingestion from various sources.
- Write efficient SQL queries to analyze large datasets and improve performance.
- Monitor and troubleshoot Snowflake performance issues, offering solutions and enhancements.
Responsibilities:
- 3–6 years of experience in SQL and data engineering.
- Hands-on experience with Snowflake Development.
Qualifications
- 3–6 years of experience in SQL and data engineering.
Required Skills
- Mandatory Experience with Snowflake.
- Proficiency in SQL.
- Familiarity with Python and Azure Data Factory.
Preferred Skills
- Experience in data integration solutions.
- Ability to analyze large datasets.
Notice: Immediate to 15 days only
Interested? Kindly Contact details Below :
Thanks,
Dattathreya N
Technical Recruiter
Contact:
Mail:
| linkedin.com/company/andor-tech/
#1/2, Kalyanamantapa Rd, Jakkasandra, Koramangala, Bengaluru
India | USA | Netherlands | UAE
Data Engineer
Posted 2 days ago
Job Viewed
Job Description
Job Title: Data Engineer (CDC / Realtime Data Integration)
Location: Navi Mumbai, India
Experience Level: 4–6 Years
About the Role:
We are seeking a skilled and experienced Data Engineer with expertise in Change Data Capture (CDC) and real-time data integration . The ideal candidate will have hands-on experience in designing, implementing, and managing real-time data pipelines using Debezium, Kafka , and related technologies.
This role requires building low-latency pipelines that enable instant data availability for analytics, operational reporting, and downstream systems, ensuring data integrity and scalability in a fast-paced environment.
Key Responsibilities:
- Design, develop, and maintain real-time data ingestion pipelines using CDC from relational and NoSQL databases.
- Implement and manage data streaming solutions using Apache Kafka, Kafka Connect, and Debezium.
- Configure and monitor Debezium connectors for accurate data capture.
- Develop real-time data transformation logic using Spark Streaming, Flink, or Kafka Streams.
- Ensure data quality, consistency, and governance across real-time pipelines.
- Collaborate with application teams, analysts, and data scientists to meet real-time data needs.
- Troubleshoot and resolve pipeline, Kafka cluster, and connector issues.
- Implement monitoring, logging, and alerting to ensure availability and performance.
- Document real-time architectures, flows, and procedures.
- Adhere to data governance and compliance standards.
Technical Skills:
- Real-time Data Integration: Strong experience with CDC mechanisms.
- Streaming Tech: Apache Kafka, Kafka Connect, Kafka Streams.
- CDC Tools: Debezium (hands-on expertise).
- Programming: Python or Java (Spring Boot, REST APIs), Shell scripting.
- Big Data: Apache Spark Streaming, Apache Flink (preferred).
- Cloud: GCP (BigQuery, Data Lakes) or equivalent platforms.
- Databases: Relational + NoSQL for CDC integration.
- SQL: Advanced querying & validation skills.
- DevOps: Docker, Kubernetes, CI/CD deployment.
- Monitoring: Prometheus, Grafana for real-time data health.
Collaboration & Soft Skills:
- Strong collaboration with cross-functional engineering and business teams.
- Ability to clearly document and present real-time data architectures .
- Skilled in stakeholder communication (technical & non-technical).
- Proactive problem solver with attention to data integrity & reliability .
- Adaptable, self-driven, and detail-oriented.
Qualifications:
- BE/B.Tech and/or M.Tech in a relevant discipline.
- 4–6 years of Data Engineering experience with a focus on CDC & real-time data integration .
- Exposure to BFSI/NBFC domain is a strong advantage.
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Data Engineer
Posted 2 days ago
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Job Description
Company Description
Cygnus AI Solutions is a decision intelligence company dedicated to augmenting human intuition with AI. Our mission is to blend the power of AI, the discipline of data science, and the art of problem-solving to help enterprises navigate complexity, scale decisions, and transform their operating models. We partner with industry leaders across various sectors, including Oil & Gas, Industrials, Retail, CPG, and Financial Services. By leveraging partnerships with cloud providers like AWS, Azure, GCP, and others, we create AI products and solutions that elevate enterprise capabilities.
Role Description
This is a full-time on-site role as a Data Engineer located in Mumbai. As a Data Engineer at Cygnus AI Solutions, you will be responsible for collecting, analyzing, and interpreting large datasets to identify trends and patterns. Day-to-day tasks include developing machine learning models, collaborating with cross-functional teams, implementing data-driven solutions, and communicating findings to stakeholders. You will also work on enhancing and deploying AI solutions that empower decision-making processes.
Qualifications
- Strong proficiency in programming languages such as Python, R, or SQL
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or sci-kit-learn
- Skills in data preprocessing, data warehousing, and ETL processes
- Experience with data visualization tools like Tableau or Power BI
- Ability to design and implement data models and algorithms
- Excellent problem-solving skills and the ability to work independently
- Strong collaboration and communication skills
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- Experience in industries such as Oil & Gas, Industrials, Retail, CPG, or Financial Services is a plus
Data Engineer
Posted 11 days ago
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Job Description
We’re Hiring!
Data Engineer
At Envu, we partner with our customers to design world-class, forward-thinking innovations that protect and enhance the health of environments around the world. We offer dedicated services in: Professional Pest Management, Forestry, Ornamentals, Golf, Industrial Vegetation Management, Lawn & Landscape, Mosquito Management, and Range & Pasture.
Envu brings together a broad range of perspectives to look beyond chemistry and dare to explore new paths forward. Guided by our inclusive culture, we embrace change and flexibility, tackling our customers’ toughest challenges proactively, passionately and with an entrepreneurial spirit.
We pursue our ambitions collaboratively because we know that a unified and empowered team is an unstoppable force, allowing us to achieve our vision of healthy environments for everyone, everywhere. Join Us.
Envu is proud to be Great Place to Work Certified in the US, France, and India. (June 2025 - June 2026)
FUNCTION: Global Innovation
LOCATION: Thane, India
TYPE: Permanent
Role Seniority : Managerial
GET TO KNOW YOUR AREA:
- We are seeking a Data Engineer with strong analytical and technical expertise to support our data-driven transformation. You will be responsible for building and maintaining data infrastructure and pipelines, enabling robust analytics and machine learning initiatives across multiple departments
- This role requires hands-on experience with data engineering tools and platforms, a solid foundation in Python and SQL, and ideally, some domain knowledge in chemical processes or related industries. You will work closely with stakeholders in R&D and regulatory teams to enable data accessibility, insight generation, and technical innovation
YOUR MISSION WILL BE TO:
- Assemble large, complex datasets that meet functional and non-functional business requirements
- Design and implement internal process improvements, including infrastructure re-architecture for scalability, optimized data delivery, and automation of manual workflows
- Build infrastructure for efficient data extraction, transformation, and loading (ETL) using AWS and SQL technologies
- Develop and maintain automated data pipelines across sources like SQL Server, LIMS, Veeva, and unstructured text files
- Create analytical tools and dashboards (e.g., Power BI reports, RAG systems) to drive key insights on operational efficiency and customer acquisition
- Prototype solutions for innovation teams using integrated datasets, including ML and generative AI applications
- Support stakeholders with data infrastructure needs and resolve data-related technical issues
- Lead technical projects and coordinate with external vendors/ consultants to deliver robust data solutions
- Act as a liaison between internal subject matter experts and technical partners to ensure effective knowledge transfer and implementation
ARE YOU READY FOR THE ROLE?
Main requirements:
- Bachelors in a STEM field. Background or experience in the life-sciences/chemical industry strongly preferred
- Python: Proficient in data handling and processing libraries (e.g., pandas, NumPy); experience packaging code for reuse
- Data Collection: Experience using APIs or web scraping for data acquisition
- Cloud Computing: Experience with Azure preferred; AWS or other cluster computing environments acceptable
- SQL: ability to write and optimize complex SQL queries
- Working knowledge of PowerBI, Tableau or similar tool
- Passionate about data and eager to learn and discover
- Willing to work in a highly ambiguous environment, with constantly evolving business needs, and not deterred by complexity
Environmental Science U.S. LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
By applying for this position, you agree that your personal data are going to be processed and recorded by Envu for recruitment purposes only. For candidates who are not selected for this position, personal data will be kept for a period of two years and then permanently deleted.
We will soon be in touch to let you know the next steps to be taken!
Data Engineer
Posted 14 days ago
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Job Description
Data Engineer (Python & SQL)
My client, a listed wealth management firm, is seeking Data Engineers to design, develop, and optimize scalable data pipelines and models that enable smarter, data-driven decisions. In this role, you’ll leverage modern data tools, cloud technologies, and collaborate with cross-functional teams to deliver high-quality and reliable data solutions.
What You’ll Do
- Build & optimize ETL/ELT pipelines (Python, SQL, Airflow).
- Design and maintain data models & warehouses (Snowflake, Redshift, ClickHouse).
- Integrate data from APIs, databases, and cloud platforms (AWS/Azure/GCP).
- Optimize SQL queries, performance tune databases, and ensure data quality.
- Collaborate with analysts, scientists & DevOps; mentor junior engineers.
What We’re Looking For
- 5–10 years of experience in data engineering.
- Strong expertise in Python, SQL, and data modeling.
- Experience with data lakes, warehouses, and orchestration tools (Airflow/Talend).
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Bonus: PySpark, Docker, CI/CD, and monitoring tools (Grafana, CloudWatch).
Interested candidates can apply on Linkedin or reach out to for a confidential discussion