Top Data Engineer Jobs in Mumbai

As a Principal Data Engineer, you will design and implement scalable data solutions on AWS, lead teams, and drive quality outcomes by promoting best practices and collaborating with stakeholders.

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 Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

Lead the monitoring, maintenance, and optimization of the enterprise data warehouse, ensuring ETL performance and compliance with SOX standards. Collaborate with stakeholders to resolve issues and perform deep-dive analyses for quality improvements.

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

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 optimize data models and pipelines within Snowflake for AI applications, ensuring data quality and efficient processing.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Data Engineer designs, develops, and maintains data pipelines and infrastructure, ensuring data accuracy and accessibility while collaborating with data teams.

The role involves leading data architecture and engineering for a health insurance platform, focusing on cloud-native solutions, scalable data pipelines, and ensuring data quality and governance while collaborating across teams.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Design, develop, and optimize high-performance data pipelines using Apache Spark, ensuring reliability and scalability. Collaborate with teams to implement best practices for data quality and security.

Design and develop scalable web and enterprise solutions, improve data flows and database design, enforce agile practices, and introduce innovative frameworks while also developing and leading junior peers.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Lead the design, development, and maintenance of Disability & Absence products at MetLife, focusing on Big Data technologies and solutions.

The Data Engineer will design, develop, and maintain ETL pipelines for data integration, ensuring data quality and compliance in cloud and on-premise environments.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

The AWS Data Engineer will develop and maintain data pipelines using AWS technologies, perform data modeling, and collaborate with teams to meet data needs.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

Design and develop large-scale data pipelines using Hadoop, optimize workflows, maintain data quality, and collaborate with teams on data needs.

The Software Development Engineer will collaborate with teams to build technology solutions, develop deployment methods, and support existing systems, focusing on continuous improvement and innovation in software development practices.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.