Top Data Engineer Jobs in Mumbai

As a Senior Manager, Analytics Developer, you will lead the development of data solutions for AI and advanced analytics, executing data strategies, and managing data pipelines, ensuring high performance and compliance.

Design, develop, implement and maintain Big Data solutions for Disability & Absence products. Build batch, speed, and serving layers using Spark, Hive, NoSQL, SOLR and Kafka; optimize Hadoop jobs; automate with Shell/Python; support deployments, CI/CD, runbooks, and cross-team collaboration.

This role involves building and operating data pipelines, implementing automation, data extraction, data management, and collaboration with stakeholders to optimize data systems.

The role focuses on designing and building data infrastructures, ensuring data quality and governance, optimizing performance, and collaborating on AI initiatives within the healthcare sector.

As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.

The Data Engineer will design and implement data solutions using GCP services, focusing on big data processing, ETL/ELT processes, and analytical problem-solving.

As a Data Engineer, you will extract, process, and automate data solutions using various technologies, mentor junior engineers, and enhance data operations processes.

As a Data Engineer, you will build data pipelines, design data models, and deploy Data Ops, collaborating with multiple teams to enhance product offerings.

The GEN BI Engineer will design and deliver innovative BI solutions, collaborate with stakeholders, and build scalable systems using data for strategic decisions.

As a Data Platform Engineer, you will manage and monitor data systems and storage infrastructure while driving automation and collaborating with teams.

The Data Centre Engineer oversees and maintains physical servers and network infrastructure, ensuring efficient operations in colocation facilities. Responsibilities include installation, troubleshooting, documentation, and collaboration with vendors.

The role involves executing the business analytics agenda, utilizing data analysis, designing semantic layers, and optimizing data solutions with a focus on self-service. Responsibilities include training on Power BI and consulting on data project execution.

The role involves using data models and analytics to drive business decisions, create templates for data visualization, and lead training on Power BI and semantic analytics.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensuring data integrity in a Databricks environment, focusing on scalable solutions and collaboration with stakeholders.

The Senior Analyst - Data Engineer will develop and maintain data pipelines, ensure data quality, and support data-driven insights using Databricks and cloud technologies.

The AWS Data Engineer will design and maintain ETL/ELT pipelines, perform data analysis using SQL and Python, and develop scalable data solutions in the AWS ecosystem.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure quality, and implement ETL processes across systems.

As a Data Engineer, design and maintain data solutions, create pipelines, ensure data quality, and implement ETL processes while collaborating with cross-functional teams.

As a Data Engineer, you will design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes.

The Data Engineer will design, develop, and maintain data solutions, focusing on data pipelines and ensuring data quality while implementing ETL processes.

As a Data Engineer, design and maintain data solutions and pipelines, ensure data quality, and implement ETL processes to support data needs.

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes across systems.

As a Data Engineering Manager, lead the development of data products, drive innovation using AI, and manage a team while collaborating across multiple teams.

As a Principal Data Engineer, you will design and implement scalable data solutions on AWS, lead teams, and drive quality outcomes by promoting best practices and collaborating with stakeholders.

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.