Top Data Engineer Jobs in Pune

The Data Engineer II at Cencora is responsible for managing and analyzing data to support Legal and Compliance departments. This role includes data extraction, analysis, validating data quality, and developing analytics models. The engineer will also collaborate with various teams to improve data integrity, conduct root-cause analyses, and assist in training users on business analytics solutions.

Lead AI and Data Engineering projects, develop AI models, oversee data solutions and collaborate with teams to improve patient outcomes.

As a Data Engineer II, you will enhance business analytics solutions, validate data integrity, analyze trends, collaborate across teams, and assist in training users for improved decision-making.

SailPoint seeks a Senior Data Engineer to design and implement robust data ingestion and processing systems. Responsibilities include developing scalable data pipelines, integrating diverse data sources, leveraging AWS services, and using tools like Apache Airflow for orchestration. Candidates should have extensive experience in data engineering and relevant technologies.

The Data Engineer III is responsible for designing and developing data management solutions, working with stakeholders to analyze data, develop models and automate processes to improve data quality and analytics. This role requires collaboration with team members to implement data strategies using both cloud and on-premise technologies.

As a Senior Data Engineer, you will design and maintain data solutions, build and optimize data pipelines, and transform raw data into actionable insights. Collaborating with stakeholders, you'll resolve integration issues and manage data infrastructure, while ensuring data security and delivering solutions that empower analytics across the organization.

As a Data Engineer, you'll design, develop, and maintain data solutions, creating pipelines, ensuring data quality, and implementing ETL processes.

As a Data Engineer at Pattern, you will develop and support real-time data streams, ensure data quality, collaborate on data requirements, tune application performance using SQL, and lead a team of engineers.