Top Data Engineer Jobs in Mumbai

The Azure Data Engineer Lead Consultant will oversee a data engineering team, ensuring best practices, project delivery, and providing technical guidance in data solutions.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.

The Data Flow Engineer manages data connections, validates files, automates reporting, and improves auto-reconciliation processes using various technologies and best practices.

The Data Engineer will design, build, and maintain ETL pipelines and data products, utilizing big data technologies and ensuring efficient data architecture. Responsibilities include troubleshooting complex issues, developing scalable solutions, and managing databases and data security compliance.

The Data Engineer role involves designing and maintaining ETL pipelines, optimizing data storage solutions, collaborating with teams, and ensuring data accuracy and integrity.

The Azure Data Engineer will design and maintain data pipelines, optimize data workflows, and ensure system performance, leveraging Azure technologies.

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 Associate Data Engineer will assist in building and maintaining data pipelines, writing SQL queries, and ensuring data quality using tools like Snowflake and Matillion.

As a Data Engineer, you'll build, maintain, and optimize data pipelines, collaborate with teams, and improve data solutions for analytics and products.

The Data Engineer will build and optimize data pipelines for analytics, collaborate with teams on data architecture, and ensure data quality.

The Associate Data Engineer will work on big data systems, support cloud migration, analyze data to improve products, and troubleshoot data infrastructure issues.

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

Design and implement critical processes for a subscription billing system while collaborating with cross-functional teams. Requires expert SQL skills and familiarity with various databases and DevOps methodologies.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

The Senior Tableau Consultant focuses on data visualization development, project management, mentoring, and supporting business requirements using Tableau. Responsibilities include dashboard architecture, user configuration, and training.

Develop ETL pipelines and data transformations using Oracle Cloud Data Integration, support data preparation for reporting, and troubleshoot data issues.

The Lead Data Engineer will design and implement data solutions, lead a team, and ensure data governance and best practices in a finance technology context.

As a Managed Services Engineer (L2), you will maintain client IT infrastructure, resolve incidents, manage tickets, and support automation efforts while ensuring client satisfaction.

The Senior Data Engineer will develop and maintain scalable data pipelines on GCP, build data products, and support AI/ML data enablement initiatives while collaborating with various teams to ensure high-quality data solutions.

The Data Engineer will develop scalable data pipelines on Google Cloud, support analytics and AI projects, and ensure data quality and governance.

As a Data Engineer, you will enhance data pipelines, support ML workflows, and improve cloud infrastructure on Azure and AWS, collaborating with Scientists and Engineers to turn data into actionable insights.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

We are looking for a Data Engineer with skills in Python, SQL, and Azure technologies to develop Big Data applications. Responsibilities include working with Spark and Docker to handle large scale data processing and analytics.

The Azure Data Engineer will implement big data pipelines using Azure technologies, collaborate with stakeholders, and utilize tools like Data Factory and Databricks.