Top Data Engineer Jobs in Mumbai

The Azure Data Engineer will build data pipelines and dataflows, implement security modules, and work with Azure services while supporting business requirements and data analysis.

The Data Engineer role involves analyzing raw data, building data systems, conducting complex analyses, and enhancing data quality by collaborating with data scientists and architects.

This role involves collaborating with users to build data solutions, managing AWS data technologies, and automating workflows for efficiency.

As a Data Engineer, you will design and implement cloud data platforms and pipelines, ensuring secure, scalable solutions for analytics and AI. Responsibilities include client delivery, collaboration with teams, leadership in architecture workshops, and contributing to internal initiatives.

Responsible for designing and developing a GCP data ecosystem, creating data pipelines, optimizing data architectures, troubleshooting issues, and mentoring junior engineers.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.

The Senior Data Platform Engineer will design, develop, and optimize scalable data solutions, collaborate with stakeholders, and improve technology processes in a fast-paced agile environment.

The role involves designing and optimizing large-scale ML data pipelines, ensuring high-throughput data ingestion and processing, collaborating with teams on data workflows, and architecting GPU-based environments.

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 job involves designing, testing, and optimizing prompts for AI-driven applications using large language models, ensuring accuracy, and collaborating with cross-functional teams.

As a Senior Engineer for Strategic Data Solutions, you will manage data warehousing, reporting, and analytics for internal operations and external partners. Responsibilities include collaborating with business units, providing insights, and ensuring high-quality data reporting.

The Senior Big Data Engineer will manage customer engagements, develop big data architectures, and guide clients in utilizing the Databricks platform effectively.

The Sales Engineer supports sales efforts by providing pre-sales support, technical guidance, and customer interaction while focusing on data governance and analytics solutions.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Data Engineer will design and build scalable data systems and analytics infrastructure, ensure data quality, and lead technical direction. Responsibilities include developing AI capabilities for the analytics platform and collaborating with teams to translate complex data into actionable insights.

The role involves managing data operations, automating processes, monitoring data pipelines, and maintaining operational documentation within QRT.

Seeking a Big Data Engineer with 3-6 years of hands-on experience in PySpark, ADF, ADB, and SQL to manage large data sets.

As a Lead Data Engineer, you will design and manage data pipelines, develop ETL processes, and ensure data quality. Mentorship of junior engineers is also part of the role.

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.

The Data Science Engineer will analyze and prepare raw data, develop data models, and proficiently use SQL and Python for ETL processes.

The role involves leading data science projects focusing on predictive modeling and optimization, specifically using machine learning and cloud technologies. It requires collaboration with clients to translate business needs into technical solutions, including design architecture and guidelines, while managing project standards and ensuring best practices are followed.