Top Data Engineer Jobs in Mumbai

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 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.

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.

The Data Engineer (L2) is responsible for building and maintaining data ingestion pipelines, supporting marketing data needs, and collaborating with business teams to ensure data availability for analytics and reporting.

The Data Engineer will design and maintain data pipelines for marketing data, ensuring high quality and reliability, while collaborating with marketing teams to translate requirements into scalable solutions.

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 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.

Looking for a hands-on AI & Data Engineer with 6+ years of experience to accelerate AI-driven analytics for trading teams, managing end-to-end solutions.

Responsible for designing and maintaining data architecture, developing and deploying data solutions that meet organizational needs.

As a Data Engineer, you will design and maintain data pipelines on Databricks and AWS, focusing on ETL/ELT processes to support analytics and reporting across the organization.

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 will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

Design, develop, and maintain data-driven applications for trading operations. Build data pipelines, optimize code, and collaborate with teams for solutions.

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.

The Looker Data Engineer will develop Looker data models, optimize reporting solutions, use Looker APIs, and work with SQL and cloud platforms.

Design and implement data integration solutions using Informatica and cloud platforms, managing data quality and compliance in ETL workflows.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The Data Engineer is responsible for designing and maintaining data architecture and infrastructure, developing data solutions, and ensuring they meet organizational needs.

The Engineering Manager leads the Data Engineering team, overseeing the design of scalable data pipelines using AWS technologies, mentoring engineers, and collaborating with stakeholders on data-first initiatives.

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 Data Platform Engineer will design and build scalable data infrastructures for Snowflake, develop ETL pipelines, and ensure data reliability and performance, collaborating with stakeholders to optimize data models.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

This role involves deep domain expertise in Travel, Transportation & Logistics, utilizing DB/SQL and Tableau for analytics and reporting.

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