Top Data Engineer Jobs in Mumbai

As a Data Engineer, you will extract, process, and automate data solutions using various technologies, mentor junior engineers, and enhance data operations processes.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.

Design, build, and operate scalable ETL/ELT pipelines using PySpark and AWS data services. Orchestrate workflows with Apache Airflow, implement AWS Glue jobs and Data Catalog, manage Lake Formation permissions, publish datasets for BI, and deliver QuickSight visualizations while ensuring data quality and performance.

As a Senior Data Engineer, you will build data pipelines, transform data, and ensure data governance while collaborating across teams to deliver insights and analytics.

Seeking a Senior Data Engineer to implement AI solutions, manage data pipelines, and optimize analytics platforms using Python and cloud services.

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.

Develop and maintain data pipelines using AWS technologies. Collaborate with teams to design data solutions and optimize existing systems. Create data models and perform end-user querying.

The Data Engineer role involves building scalable data pipelines, managing datasets, and collaborating with teams to enable data-driven insights and decision-making.

The Data Engineer designs, develops, and maintains data solutions, creates data pipelines, ensures data quality, and implements ETL processes. They collaborate with teams to understand data needs and optimize workflows.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

The Data Engineer will design and maintain data solutions, create data pipelines, ensure data quality, and optimize data workflows.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

As a Data Engineer, you'll design, develop, and maintain data solutions, including creating data pipelines and implementing ETL processes across systems.

As a Data Engineer, you will design, develop, and maintain data solutions by creating data pipelines and implementing ETL processes.

Design, develop, and maintain data pipelines and ETL processes using Databricks and Azure. Ensure data quality, governance, and performance; collaborate with architects and analysts to deliver scalable data solutions and troubleshoot data workflow issues.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes while collaborating with teams.

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

Design, develop and maintain Big Data solutions, build data pipelines, collaborate on data modeling, and ensure data integrity.

Design, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

Seeking an AWS Data Engineer to design and build data pipelines, ensuring data integrity and collaborating with various teams to enhance data solutions.

As an Associate Data Engineer, you will work on data systems, participate in cloud migration, maintain data infrastructure, and provide data-supported recommendations to improve product performance.

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.

The Data Engineer will develop scalable data pipelines, optimize data models, support cloud migration to AWS, and ensure data quality in a cross-functional team environment.

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.