Top Data Engineer Jobs in Mumbai

Design, build, and maintain scalable ETL/data pipelines (AWS Glue, PySpark, Spark), orchestrate with Apache Airflow, optimize CI/CD and deployments, implement data quality, governance and security, collaborate with data scientists and engineers to enable analytics and ML deployments.

The Data Engineer will build and maintain ETL/ELT pipelines, implement automated data quality checks, optimize data storage, and create interactive visualizations. They will manage CI/CD pipelines and deliver production-ready data solutions.

The Data Engineer will design and maintain ETL pipelines, optimize data models, ensure data quality, and transform HR data into actionable insights for workforce decisions.

The Data Engineer designs and implements scalable data processes, manages data pipelines, assists data scientists, and supports the organization's cloud strategy while leading junior engineers.

The Staff Data Engineer is responsible for building data-driven solutions, leading technical designs, mentoring teams, and ensuring data security in AWS Cloud environments using numerous technologies.

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.

As a Staff Data Engineer, you will build and maintain data pipelines, optimize workflows, implement security best practices, and collaborate with cross-functional teams.

As a Data Engineer, you will build and optimize data pipelines, collaborate with teams to deliver data solutions, and ensure data quality in cloud environments.

The Senior Data Engineer will design and build scalable data pipelines, ensure data governance, and collaborate on analytics solutions using big data technologies.

Design, build, and optimise scalable data pipelines and Redshift data models; ingest and transform high-volume data (MySQL and Kafka); support AWS cloud migration; embed data quality, observability, and security; collaborate with cross-functional teams to deliver reliable data solutions for payments.

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

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.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Design and maintain data pipelines, optimize data models, and develop reporting solutions for analytics and governance. Collaborate across teams and translate business requirements into actionable insights.

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

The Data Centre Engineer will design, build, scale, and maintain data centre operations, ensuring safety and accessibility of data across Jane Street's locations.

This role involves leading SAP data migration projects, developing ETL processes, ensuring data quality, and collaborating with cross-functional teams to optimize data integration and management strategies in SAP environments.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design and develop large-scale database systems, optimize performance, and implement automation for managed database services. Collaborate across teams to enhance data access and ensure governance for security and compliance.

As a Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.