Top Data Engineer Jobs in Mumbai

The Senior Data Engineer will design, build, and maintain scalable data processing systems, optimizing data pipelines, and collaborating on data architecture.

Design and optimize prompts for AI systems, evaluate model performance, collaborate with teams on machine learning strategies, and document best practices.

The role involves designing and building enterprise-scale data platform services, managing multi-tenant architectures, mentoring engineers, and driving technical initiatives in a remote environment.

As a Senior Developer, you will design and support application and data integration processes using Oracle and Dell Boomi, lead implementation projects, and collaborate on data migration requirements.

As a QA Automation Engineer, you'll design and maintain automated test frameworks for data workflows, validate data quality, and ensure reliability across ETL/ELT pipelines while collaborating with data teams.

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

The Senior Data Engineer is responsible for designing, building, and maintaining the data infrastructure and architecture. They ensure data accuracy and facilitate data accessibility for analytics and business intelligence purposes.

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

The Principal Developer will lead the design, development, and maintenance of application and data integrations using various tools, ensuring high-quality solutions and collaboration across teams.

Provide application support and IT operations for AI and data platforms, deploy and monitor GenAI and machine learning models, troubleshoot production issues, collaborate with data scientists, and ensure system reliability and performance.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

As a Staff Engineer, you will build scalable data systems, manage data infrastructure, and enhance security insights through analytics and collaboration with teams.

The Senior Data Engineer will design and optimize cloud-native data infrastructures, develop data pipelines for AI applications, and mentor team members.

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

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

The role involves designing data science solutions, mentoring team members, deploying models, and ensuring high-quality code. It requires strong analytical skills and the ability to communicate technical requirements effectively.

The Lead Data Engineer will design, develop, and maintain data pipelines and data warehouse infrastructure, ensuring data accuracy and collaboration with data teams.

The Senior Data Engineer will develop data pipelines for healthcare data, ensuring quality and reliability. Responsibilities include data ingestion, transformation, and collaboration with stakeholders.

The Senior Data Engineer will develop and maintain data pipelines, manage ingestion, and enforce data quality while collaborating with architects and stakeholders in a healthcare context.

The Data Migration Engineer is responsible for data analysis, migration script writing, execution, and documentation of data migration from legacy systems to Mitratech products, working with various stakeholders to ensure smooth transitions.

The role involves building a centralized data lake on GCP, developing SPARK-powered data pipelines, ensuring data quality, and collaborating with cross-functional teams for advanced analytics and data models.