Top Data Engineer Jobs in Pune

As a Principal Data Engineer, you will lead and design scalable data solutions, mentor engineers, and ensure data quality across the organization.

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Data Engineer role involves developing and deploying AI/ML solutions, building data engineering solutions, and applying statistical methods for insights.

The Data Engineer / Analytics Engineer will build scalable data models and pipelines using dbt and Snowflake while collaborating with stakeholders and engineers.

Lead the design, development, and maintenance of Disability & Absence products at MetLife, focusing on Big Data technologies and solutions.

The Principal Software Engineer at Atlassian will design and optimize high-scale storage systems on AWS, mentor engineers, and improve storage solutions' performance and reliability.

Join DEME's Data & Analytics Office as a Data Engineer to transform data into high-quality datasets, maintain data pipelines, and support insights for decision-making.

The Senior AI Data Engineer is responsible for designing and implementing AI solutions, managing databases, and collaborating with teams to integrate these solutions into the Teamified platform.

Design and maintain data pipelines, optimize performance, collaborate with teams, ensure data quality, and implement governance best practices.

The Data Engineer is responsible for designing and maintaining data pipelines, ensuring data quality, and integrating data for analysis using advanced technologies such as Snowflake and AWS.

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

As a Data Engineer at Maersk, you'll design and manage data ingestion frameworks, develop transformation logic, ensure data quality, optimize lakehouse architecture, and collaborate with cross-functional teams to build reusable data solutions.

The Snowflake Data Engineer will develop and manage large-scale data pipelines, collaborate with stakeholders, and optimize data engineering solutions using Snowflake.

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

As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

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

The Associate Software Engineer will create and maintain data pipelines, build infrastructure for data extraction and transformation, and collaborate with stakeholders on data-related issues.

Seeking a Data Engineer to design and optimize data pipelines using Python, SQL, and AWS. Responsibilities include ETL pipeline development, database management, and collaboration with data analysts.

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.

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.

As a Data Platform Engineer, you assist with the data platform blueprint, collaborate with architects, and ensure system integration, while enhancing data architecture strategies.

The role involves developing data pipelines, managing data integration, optimizing SQL queries, deploying AI systems, and maintaining data quality and support activities.

The Data Engineer will focus on frontend event tracking and analytics reporting, manage data pipelines, and ensure data reliability and quality.