Top Data Engineer Jobs in Mumbai

The Principal Data Engineer will lead data solutions, architect robust pipelines, influence teams on technology, and mentor engineers, solving complex data challenges.

Develop and maintain data pipelines using AWS services, create data models, and optimize queries. Collaborate with teams to address data needs.

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.

Design and implement large-scale data solutions using Google Cloud Platform. Build and optimize data pipelines and ingestion functions for performance and cost.

The Sr. Data Engineer will design and implement data pipelines, utilizing big data tools and technologies. Responsibilities include programming in Pyspark/Scala, managing scheduling with Airflow, and troubleshooting code issues. The role supports financial and energy sectors, emphasizing innovative solutions in data engineering.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The Data Engineer will design and maintain data pipelines, optimize tools, and collaborate with data science teams while ensuring data governance and compliance.

The Data Engineer will develop and maintain a data lake using Azure Databricks, create data ingestion pipelines, and ensure high data quality while collaborating across teams to meet analytics requirements.

Support and manage data engineering solutions, focusing on integration, optimization, and accessibility of data systems while collaborating with cross-functional teams.

As a Data Engineer at FairMoney, you'll design and maintain data solutions, implement ETL processes, and build data orchestration pipelines while ensuring data quality and supporting business stakeholders in data-driven decision-making.

The role involves creating data pipelines, developing statistical models, collaborating with data teams, and ensuring compliance with privacy regulations.

As a Data Engineer, you will contribute to data analytics projects, utilizing advanced SQL and Python, along with various data engineering tools, to shape decision-making processes for clients.

Design and implement large-scale data solutions on GCP. Optimize data pipelines and ingestion functions for performance and cost.

The Data Engineer will design and implement large-scale enterprise data solutions on Google Cloud Platform, optimizing data pipelines, performing data transformations, and ensuring efficient data ingestion and curation.

The Data Engineer will build infrastructure tools to support trading teams, optimize data processes, and coordinate with global teams, ensuring efficient data delivery and coding standards.

Seeking a Data Engineer to enhance business insights through SAS processes, manage data operations, and mentor junior team members in a fast-paced environment.

The Data Research Engineer will develop and oversee data extraction frameworks, ensuring data quality, implementing ETL processes, and collaborating with teams on effective data acquisition methods.