Top Data Engineer Jobs in Pune

Lead design and optimization of data pipelines and architectures, mentor engineers, collaborate with teams, and drive technical strategies in data engineering.

Seeking a Senior Data Engineer to design and optimize data pipelines and database systems, ensuring performance and data integrity while collaborating with cross-functional teams.

The Senior Data Engineer designs and develops complex data pipelines, ensuring data reliability and performance in Big Data environments, while adhering to best practices.

The Lead Data Engineer will design and implement data pipelines, oversee data management, and work with large datasets in a Big Data environment, ensuring efficient and scalable data solutions.

Lead the design and implementation of cloud solutions on Azure, ensuring security and operational standards, while mentoring junior engineers and collaborating with IT teams.

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.

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

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

Lead the data engineering team to build scalable data pipelines, design data architecture, and collaborate with cross-functional partners. Ensure data quality and drive architectural vision aligned with business needs.

The Data Engineer maintains and optimizes data infrastructure, automates processes, and collaborates with teams to improve data delivery and insights.

Design and maintain data pipelines and warehouses, optimize data models in Snowflake, develop ETL/ELT processes, and collaborate with stakeholders to ensure data quality and compliance.

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.

Lead the design and development of scalable data engineering products, optimize data processes, and mentor junior team members in a healthcare analytics context.

Design, build, and operationalize large-scale data solutions on Google Cloud Platform, optimizing data pipelines for performance and cost with tools like Python and SQL.

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

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 develop AI data architecture and API, manage databases, collaborate for AI integration, and optimize models for performance.

The Data Engineer maintains and optimises data pipelines, works with various teams on data requirements, and improves data delivery processes.

The Data Engineer at Ensono develops and optimizes data pipelines, ensuring high-quality data for AI/ML applications while collaborating with various teams to support business outcomes.

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.