Top Data Engineer Jobs in Mumbai

No role-specific responsibilities provided in the posting. Typically, a Unit Manager - Data Governance leads the data governance function: defining and enforcing data policies, managing data quality and metadata, coordinating stakeholders, ensuring regulatory compliance, and supervising a team to implement governance processes.

Design and build scalable cloud data solutions, develop and maintain ETL/data pipelines, ensure data quality and validation, optimize storage and retrieval, and collaborate with data teams and stakeholders to implement best practices.

The Senior Data Technology Engineer will design, build, and optimize data onboarding platforms, utilizing GCP and Python. Responsibilities include developing data ingestion solutions, ensuring observability and governance, collaborating with teams, and mentoring others.

The role involves executing the business analytics agenda, utilizing data analysis, designing semantic layers, and optimizing data solutions with a focus on self-service. Responsibilities include training on Power BI and consulting on data project execution.

The role involves enhancing security features in applications, developing secure code, mentoring juniors, and collaborating in Agile teams. Requires full stack experience.

The role involves developing and optimizing data collection technology in a collaborative, hybrid work environment, with a focus on teamwork and beneficial resources.

The SDET will develop and maintain automated testing frameworks, perform white-box testing, ensure test automation in CI/CD pipelines, collaborate on QA practices, and advocate for quality across teams.

Responsible for L2 technical support for data platforms, advanced troubleshooting, code-level fixes, and ensuring SLA compliance. Requires strong skills in Azure Data Factory, Databricks, SQL, and Python for performance tuning and data reliability.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

Design, build, and maintain data pipelines and ETL processes using GCP services. Ensure data quality, migrate data across systems, optimize BigQuery performance, and collaborate with cross-functional teams while troubleshooting data flow issues.

Design, develop, and maintain data pipelines and ETL processes. Ensure data quality, implement data migrations, collaborate with cross-functional teams, provide technical leadership, and mentor junior engineers.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, and implement ETL processes to enhance data accessibility.

As a Data Engineer, you will design, develop and maintain data solutions, creating data pipelines and ensuring data quality through ETL processes. You will collaborate with teams to solve data challenges and optimize workflows.

Design, develop, and maintain data pipelines and ETL processes using GCP data platform services. Ensure data quality, performance-tune BigQuery SQL, migrate data across systems, and collaborate with cross-functional teams to deliver scalable data solutions.

The Data Engineer designs, develops, and maintains data solutions, focusing on data pipelines, ETL processes, and data quality. They collaborate with teams to optimize data workflows, gathering requirements and providing solutions to enhance infrastructure efficiency.

Design, build, and maintain ETL pipelines and data solutions using GCP services and Python. Ensure data quality, perform BigQuery performance tuning, migrate data, and collaborate with cross-functional teams to deliver scalable data platforms.

Design, develop, and maintain data pipelines and ETL processes using Python, BigQuery, Airflow, and GCP services. Ensure data quality, perform performance tuning, support data integration/migration projects, and collaborate across teams to deliver scalable cloud-native data solutions.

As a Data Engineer, you'll design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes. You'll collaborate with teams, mentor junior members, and optimize data processes while engaging in key decisions.

Design, build, and maintain data pipelines and ETL processes on GCP (BigQuery). Ensure data quality, perform BigQuery performance tuning, integrate/migrate data across systems, collaborate with teams, and support production data platform services.

Design, build, and maintain ETL/data pipelines and data platform solutions on GCP. Ensure data quality, performance-tune BigQuery SQL, migrate/integrate data, and collaborate across teams.

As a Data Engineer, design and maintain data solutions including creating data pipelines, ensuring data quality, and implementing ETL processes.

Design, develop, and maintain data solutions by creating data pipelines, ensuring quality, and implementing ETL processes to facilitate data processing.

Design, develop, and maintain data pipelines and ETL processes; ensure data quality; migrate and deploy data across systems; collaborate with cross-functional teams; act as SME, mentor juniors, and make team-level technical decisions.

Design, develop, and maintain data pipelines and ETL processes on GCP. Ensure data quality, migrate and deploy data across systems, optimize BigQuery performance, and collaborate with cross-functional teams to deliver scalable data platform solutions.

Design, develop, and maintain data pipelines and ETL processes using GCP services (BigQuery, Pub/Sub, Dataflow, Dataproc). Ensure data quality, performance tune SQL, collaborate cross-functionally, and support cloud data platform operations.