Top Data Engineer Jobs in Mumbai

The Senior AWS Data Engineer will develop and maintain data pipelines, create data models, and ensure efficient data orchestration using AWS services and tools. Collaborating with teams, the engineer will optimize data processes and communicate solutions effectively.

The Data Engineer designs and maintains data infrastructure, builds data pipelines, and collaborates on data initiatives, ensuring efficient data integration.

The MTS 4 - Data Engineer at Nielsen will be responsible for development tasks across frontend and database areas, requiring strong programming skills and cloud knowledge.

As a Senior Data Engineer at Atlassian, you will build and maintain data pipelines, manage a data lake, and optimize data ingestion processes while collaborating with business stakeholders.

The role involves designing tools for operational efficiency, validating data integrity, collaborating with stakeholders, and improving data-driven processes.

As a Junior Data Engineer, you'll build infrastructure tools, optimize data delivery, automate processes, and support trading teams while ensuring coding standards.

The Senior Data Engineer will design data architectures, build scalable pipelines, and work with data teams to empower decision-making with company-wide analytics.

The Data Engineer/BI Engineer will design ETL/ELT pipelines, manage databases, and create dashboards, contributing to AI-driven data initiatives.

The Analytics Data Engineer will deploy Snowflake environments, automate infrastructure, maintain data models in DBT, and integrate data streams while ensuring data quality and stakeholder collaboration.

As a Data Engineer, you will develop and maintain scalable data pipelines, implement ETL processes, collaborate with teams, and ensure data systems meet high volume operational needs.

As a Data Engineer, you'll build BI products, manage data governance, collaborate with business teams, and ensure effective data modeling.

The Senior Analyst - Data Engineer will design and maintain data pipelines, ensuring data integrity and quality for business insights, while enhancing data infrastructure and governance using Databricks and various cloud technologies.

The Senior Analyst - Data Engineer will design and maintain data pipelines for the organization, ensuring data integrity and supporting decision-making through collaboration with data scientists and stakeholders.

The Data Engineer is responsible for building scalable data models using DBT, managing Snowflake data warehouses, developing data pipelines, and ensuring data quality and governance. Strong SQL skills and experience with version control and automation tools are required to partner with stakeholders and enhance data processes.

The Data Engineer will implement data pipelines and analytics solutions using AWS technologies, collaborate with stakeholders, and optimize data processes.

The Data Engineer will build and scale data platforms, design robust data pipelines, collaborate with teams, and ensure data infrastructure meets performance and reliability standards.

The Senior Data Engineer will lead the development of data-centric solutions, focusing on ETL strategies, data architecture, and technical solutions. The role involves collaboration with business stakeholders, enhancing technical outcomes, and applying engineering best practices to deliver high-quality solutions.