Top Data Engineer Jobs in Mumbai

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.

The Senior Data Engineer will design and build data pipelines on Azure Databricks, ensuring data security and governance while collaborating with clients and vendors on projects.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Data Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.

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

As a Senior Data Engineer, you will develop scalable data pipelines, build financial applications, and deliver analytics solutions for finance operations using AWS and other tools.

The Senior Data Engineer will design, build, and maintain scalable data pipelines, ensuring data quality and performance across various analytics use cases.

As a Staff Data Engineer, you will design data architectures, develop data pipelines, ensure data quality, establish governance, and collaborate with stakeholders.

The Senior Data Engineer will build and maintain data pipelines, ensure data accuracy, optimize performance, and collaborate with analysts for business intelligence solutions.

The Big Data Engineer will lead development in HFM, FDMEE mapping, and shared services. Responsibilities include SmartView utilization, application creation, metadata building and consolidations.

Design, build, and optimize scalable data pipelines and analytics solutions using Microsoft Fabric, PySpark, Python, and SQL. Collaborate with stakeholders, manage data governance, and ensure data quality in a Lakehouse architecture.

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 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 Senior Data Engineer will develop and implement end-to-end technical solutions, ensuring performance and data integration across various cloud data platforms while collaborating with clients and creating documentation.

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

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

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.

Design and deploy scalable database solutions, migrate services to Kubernetes, and manage high-availability infrastructure for Telnyx's cloud platform.