Top Data Engineer Jobs in Mumbai

The role involves building and maintaining automated pipelines for data collection and cleaning from public sources, integrating scrapers with backend systems, and ensuring data accuracy and compliance with platform rules.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

As a Data Engineer, you will design and maintain data infrastructure, build data pipelines, and collaborate on data requirements for analytics and reporting.

The Data Engineer will build and optimize data pipelines, collaborate across teams, and ensure data quality for analytics and product features.

The Data Engineer will build and optimize data pipelines, collaborate with teams, ensure data quality, and drive continuous improvement in data solutions.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer II designs and implements data pipelines, manages ETL processes, and optimizes SQL queries while mentoring junior engineers and ensuring data integrity.

As a Data Engineer I, you will design and develop data pipelines, optimize SQL queries, ensure data integrity, and collaborate with stakeholders to deliver data solutions.

The Data Engineer II designs, codes, and manages data pipelines, ensuring data quality and working with stakeholders to deliver effective data solutions, while mentoring junior engineers.

The Data Engineer II will build scalable data solutions, support data pipelines, develop reports, and ensure data hygiene for investment decisions.

As a Data Engineer, you will develop and maintain ETL processes, manage data pipelines, and ensure data accuracy for financial analytics.

The Lead Test Engineer will develop automation test frameworks, manage testing capabilities for the Investment Data Platform, and promote effective testing strategies while collaborating with various teams.

This role involves building ETL/ELT pipelines, managing data integrity, optimizing data warehouses, and guiding junior team members in data processing initiatives.

The Controls and Instrumentation Engineer will manage control systems design and implementation for data centre projects, ensuring compliance and quality assurance throughout construction and commissioning phases.

The role involves leading data security initiatives, managing encryption strategies, and ensuring compliance with security policies while collaborating across teams to embed security into services.

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.

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

As a Junior Data Engineer, you'll design and optimize data pipelines, ensure data quality, collaborate with teams, and contribute to innovative data projects.

Develop and maintain data pipelines using Python and SQL. Use DBT for data transformation and work with data warehouses. Ensure compliance with data governance policies.

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

Responsible for data collection to support model training, operating cloud infrastructure, collaborating with scientists, and enhancing data ingestion pipelines.

As a Senior Data Engineer, you'll manage cloud-scale data pipelines, optimize financial data storage and retrieval, and mentor junior engineers while ensuring accurate, auditable transactions. You'll also participate in cloud migration and troubleshoot data infrastructure issues.

Design, build, and optimize data pipelines and architectures. Collaborate with teams to ensure data quality, performance, and governance.

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.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.