Top Data Engineer Jobs in Mumbai

As a Data Engineer Intern, you will write efficient code, learn new technologies, collaborate with teams, and deliver data products to improve decision-making.

Looking for a Data Engineer lead to design and build scalable solutions, develop data pipelines, and support analytics and ML initiatives, while collaborating with cross-functional teams for quality data management.

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

The Senior Full Stack Data Engineer will design and develop scalable data platforms, manage cloud infrastructure, and ensure data quality through pipelines and orchestration tools.

The technical lead will design and build AWS data platforms, guiding engineers, ensuring delivery excellence while collaborating with product owners and stakeholders.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

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

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 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.

Design, build and operate scalable, reliable data pipelines and platforms on AWS; integrate diverse data sources; promote best practices, automation, test coverage, and mentor teams while collaborating with stakeholders.

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.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

The Senior Tableau Consultant focuses on data visualization development, project management, mentoring, and supporting business requirements using Tableau. Responsibilities include dashboard architecture, user configuration, and training.

As a Managed Services Engineer (L2), you will maintain client IT infrastructure, resolve incidents, manage tickets, and support automation efforts while ensuring client satisfaction.

The Senior Data Engineer will lead data architecture, mentor engineers, implement data solutions, and ensure data governance while collaborating across teams.

The Principal Developer will lead the design, development, and maintenance of application and data integrations using various tools, ensuring high-quality solutions and collaboration across teams.

The Senior Data Engineer is responsible for designing, building, and maintaining the data infrastructure and architecture. They ensure data accuracy and facilitate data accessibility for analytics and business intelligence purposes.

The Sr Principal Engineer will lead AI/ML strategies, develop solutions for business problems, and work with data scientists to implement ML models.

Design and build data infrastructure and architecture, optimize data processes, implement ELT applications, and develop high-quality data pipelines for clients.

The Data Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.