Top Data Engineer Jobs in Mumbai

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

The role is for a Staff Data Engineer at Commonwealth Bank Group, aimed at progressing one's career within their system.

As a Staff Data Engineer, you will design and develop scalable data solutions, engage with stakeholders, and ensure quality standards while working with large datasets and cloud architecture.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

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.

The Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

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 Senior Data Engineer will build and maintain data ingestion pipelines, manage FHIR serialization, and work within a spec-driven development framework, ensuring operational stability and high data quality for healthcare data workloads.

As a Staff Data Engineer, you will design and evolve data tools and infrastructures, automate environments, implement CI/CD for ML, and mentor others while delivering quality solutions on AWS.

Responsible for designing and developing integration processes and custom data solutions using various integration tools and cloud platforms while collaborating with cross-functional teams.

Design, build, and optimize scalable data solutions on Azure. Manage data pipelines and ensure data quality while collaborating with stakeholders.

Design and maintain scalable data pipelines, optimize storage solutions, ensure data quality, mentor junior engineers, and collaborate with various teams.

The IT Operations Engineer will manage AI and Data platforms, ensure operational health, lead incident resolution, and automate tasks while collaborating with engineering teams.

Design and maintain data pipelines, optimize data models, and develop reporting solutions for analytics and governance. Collaborate across teams and translate business requirements into actionable insights.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.

As a Staff Data Engineer, you will architect and develop data ingestion and warehousing solutions, collaborating across teams to drive data-driven decision-making.

Lead the architecture and implementation of a distributed data platform for microscopy, ensuring scalability and high-performance in data management.

This role involves leading SAP data migration projects, developing ETL processes, ensuring data quality, and collaborating with cross-functional teams to optimize data integration and management strategies in SAP environments.

The Senior Data Engineer will develop data solutions, manage data pipelines, provide technical support for Palantir, and ensure compliance with data security.

As a Lead Engineer, you'll design and develop frameworks and services for HighLevel's platform, optimizing large-scale database clusters and ensuring performance and security across multiple environments.

Design and develop large-scale database systems, optimize performance, and implement automation for managed database services. Collaborate across teams to enhance data access and ensure governance for security and compliance.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

The Software Engineer II will develop and enhance data platform systems, design reliable data flows, and drive observability for data pipelines while collaborating with team members and following governance standards.

As a Senior Data Engineer, you will architect the AI-native Data Platform, optimize performance, ensure data governance, and mentor engineers on best practices.

The Software Engineer III will develop SaaS solutions for government agencies, lead features, mentor junior engineers, and improve processes in a fast-paced environment.