Top Data Engineer Jobs in Mumbai

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

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

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.

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

The Senior Test Engineer will deliver testing and automation solutions, collaborate on test strategies, develop automation frameworks, and validate data flows within an investment data platform context.

As a Senior Test Engineer, you will deliver testing and automation solutions for the Investment Data Platform, create tests, maintain automation frameworks, and collaborate with cross-functional teams to enhance product delivery.

The Senior Data Engineer will manage MDM projects, build data pipelines, optimize performance, and ensure data quality using various tools and technologies.

As a Data Platform Engineer, you'll optimize data processing systems in Databricks, improving performance and cost-efficiency through various analytics tactics and collaboration with data engineers.

As a Staff Data Engineer, you will design data architectures, develop data pipelines, ensure data quality, establish governance, and collaborate with stakeholders.

The Senior Data Engineer will design and implement data processing pipelines, manage ETL processes, and ensure data quality while collaborating with stakeholders to meet business needs.

The Senior Data Engineer will lead the design and development of data pipelines, mentor junior engineers, and enhance data engineering practices using frameworks and best practices.

As a Senior Data Engineer, you will optimize Snowflake's performance, develop SQL scripts, integrate data, and ensure data quality while collaborating with cross-functional teams.

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

The Senior Data Engineer consults with stakeholders to analyze information needs, builds BI and data visualization solutions, and ensures data quality, access, and integration using industry best practices.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Data Engineer will design and optimize large-scale data pipelines and workflows, ensuring data quality and collaborating with data scientists and engineers for insights and reporting.

As a Senior Backend Software Engineer, you'll design and build systems for H1's data platform using Python, SQL, and cloud technologies while collaborating with cross-functional teams.

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

Design, implement, and maintain data pipelines, ensure data quality, collaborate with stakeholders, and support PowerBI reporting development.

As a Middle AI Engineer/Data Scientist, you will develop AI solutions, improve chatbots, analyze data for NLP, and collaborate with clients and teams.

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.