Top Data Engineer Jobs in Mumbai

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

As a Data Engineer at InfyStrat, you'll design and maintain data architecture, ensuring data accessibility and reliability while developing data pipelines. You'll collaborate with teams to create scalable data solutions for business intelligence.

The Data Engineer will design, build, and maintain data pipelines for Data Warehouses, utilizing AWS, GCP, and SQL, while ensuring data quality and implementing CI/CD best practices.

The Clinical Data Engineer serves as an expert in USDM, driving digital protocol generation and enabling seamless data flow across the clinical development lifecycle, while collaborating across functions to optimize processes and ensure compliance with industry standards.

Develop and maintain data pipelines using AWS technologies. Collaborate with teams to design data solutions and optimize existing systems. Create data models and perform end-user querying.

The Data Engineer designs and develops data pipelines for storage and processing, optimizes data integration, and collaborates with analysts on data models and KPIs, while leveraging cloud and AI technologies.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

The Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality and collaborating across teams to prioritize data needs.

The Data Platform Engineer will design and implement AI-driven solutions using Snowflake, lead teams, manage projects, and optimize data workflows for business transformation.

As a Generative AI Engineer, you will design, implement, and optimize AI-driven data solutions using advanced technologies like RAG and transformers, collaborating across teams to integrate generative AI models for knowledge retrieval and generation tasks.

Seeking a Data Platform Engineer to design and implement AI-driven solutions, collaborate on system integrations, and enhance data workflows. Requires experience in Snowflake and data warehousing concepts.

The Data Platform Engineer will design and build Snowflake pipelines, collaborate with integration architects, ensure data quality, and support GenAI initiatives.

The Data Platform Engineer will design, develop, and deploy solutions using AI frameworks, manage teams, and ensure successful project outcomes.

Design robust Snowflake environments, optimize AI workloads, collaborate with teams, provide technical guidance, and lead initiatives in generative AI.

The Data Platform Engineer will design and implement AI-driven solutions, collaborate with architects for data integration, and manage team performance to meet project objectives.

Seeking an AWS Data Engineer to design and build data pipelines, ensuring data integrity and collaborating with various teams to enhance data solutions.

The Senior Engineer will build high-quality software for M&G's Investment Data Platform, collaborating in an agile environment and enhancing existing data platform artifacts.

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 role involves designing and deploying AI-driven data solutions, collaborating with teams, and ensuring timely delivery while utilizing Databricks and Generative AI frameworks.

As an Associate Data Engineer, you will work on data systems, participate in cloud migration, maintain data infrastructure, and provide data-supported recommendations to improve product performance.

The IT Data Engineer will develop and optimize ETL/ELT workflows, implement Lakehouse architecture, integrate Azure services, and oversee data governance practices, while supporting CI/CD and collaborating with stakeholders.

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 will develop scalable data pipelines, optimize data models, support cloud migration to AWS, and ensure data quality in a cross-functional team environment.

Lead development and maintenance of Big Data solutions for Disability & Absence products, ensuring high-quality, efficient, and scalable applications.

Design and deliver end-to-end cloud data solutions, lead discovery and technical design, build and optimize scalable ETL/ELT and real-time pipelines, implement CI/CD and IaC, develop observability and data quality, perform performance tuning and root-cause analysis, and advise customers while contributing to automation and thought leadership.