Top Data Engineer Jobs in Mumbai

Design, build and maintain ETL/data pipelines and data platform solutions on GCP (BigQuery, Cloud Storage, Pub/Sub, Dataflow). Ensure data quality, performance tune BigQuery SQL, automate CI/CD, and collaborate across teams to deliver integrated data warehousing and migration solutions.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Design and develop scalable web and enterprise solutions, improve data flows and database design, enforce agile practices, and introduce innovative frameworks while also developing and leading junior peers.

Design, deploy, and optimize Azure Databricks and various Azure services for data engineering, emphasizing automation, governance, and security while ensuring cost efficiency and performance. Collaborate with teams to develop scalable ETL/ELT pipelines and implement best practices for cloud architecture.

The Senior Cloud Data Engineer will design and implement cloud data platforms, build scalable ETL/ELT pipelines, and mentor junior engineers, requiring expertise in major cloud services.

The role involves managing Adobe platforms, implementing data collection strategies, ensuring compliance with privacy regulations, and collaborating within Agile methodologies to enhance customer experiences.

The AWS Data Engineer will develop and maintain data pipelines using AWS technologies, perform data modeling, and collaborate with teams to meet data needs.

As a Data Engineer Intern, you will write efficient code, learn new technologies, collaborate with teams, and deliver data products to improve decision-making.

Looking for a Data Engineer lead to design and build scalable solutions, develop data pipelines, and support analytics and ML initiatives, while collaborating with cross-functional teams for quality data management.

The Senior Full Stack Data Engineer will design and develop scalable data platforms, manage cloud infrastructure, and ensure data quality through pipelines and orchestration tools.

The Data Engineer will lead the creation and maintenance of the company's data infrastructure, build reporting capabilities, and develop data-driven automation pipelines.

The role involves leading data architecture and engineering for a health insurance platform, focusing on cloud-native solutions, scalable data pipelines, and ensuring data quality and governance while collaborating across teams.

As a Data Engineer, you will work on data systems, participate in cloud migration, analyze data for product performance, and maintain data infrastructure.

Support and modernize large-scale data systems and cloud migration, maintain real-time analytics and warning systems, build data collection/query software, analyze data to improve products, and troubleshoot data infrastructure while communicating with stakeholders.

No specific responsibilities, technical requirements, or qualifications are listed in the posted job description.

Assist in designing and implementing scalable data processes, develop data pipelines, support ETL from multiple sources, and enable data-driven business solutions.

Seeking experienced Data Engineers with 5-7 years of experience in Databricks, PySpark, and Data Fabric concepts to aid in data transformation initiatives.

The Data Engineer will develop end-to-end technical solutions, ensuring performance and scalability on cloud data platforms, while leveraging programming and data integration technologies.

As an Azure Data Engineer, you will innovate and maintain data engineering services for Fortune clients, develop software for large projects, and utilize Azure components for solutions.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

The Data Engineer will design, build, and maintain ETL/ELT pipelines, ensuring data quality, security, and compliance while collaborating across multiple teams.

Develop and maintain scalable data architectures and pipelines, ensuring data integrity and compliance, while collaborating with teams on data requirements.

The Data Engineer role involves data analysis using T-SQL, ETL development in Python, building data pipelines, and working with Azure data products.

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.