Top Data Engineer Jobs in Pune

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

Build, test, and maintain GCP-based data pipelines and ETL/ELT processes using Python and SQL. Optimize BigQuery queries, design data models, ensure data quality, troubleshoot pipeline issues, document solutions, and collaborate with analysts and engineers to deliver scalable data warehouse solutions.

Design and implement data solutions by translating business problems into technical designs; lead modules, mentor junior team members, validate architectures, develop ETL/warehouse/reporting solutions, and support project delivery including planning, testing, deployment and client collaboration.

The Senior Software Engineer - Data Engineer will lead project phases, design technical solutions, manage team efforts, and collaborate globally while driving innovative data solutions.

The role involves designing and maintaining scalable data pipelines using Databricks, ensuring data quality and availability for audits, and optimizing ETL processes.

The role involves managing project lifecycles, translating business requirements into tech solutions, and leading diverse teams while providing mentorship. Key technologies include big data platforms and programming languages. Strong communication and project management skills are essential.

The Business Technology Solutions Associate will design and implement technology solutions, collaborating with teams to address business problems using methodologies like agile and waterfall.

Lead the data engineering team, managing Snowflake infrastructure, optimizing Tableau reporting, developing data strategies, and ensuring data integrity and compliance.

Build and maintain data pipelines, warehouses and lakes; design ETL and distributed data architectures; implement processing and analysis algorithms; collaborate with data scientists to deploy ML models; lead or coach teams and ensure data security and governance.

The Lead Data Engineer will design and implement data pipelines in Databricks, ensuring data quality and governance while collaborating with internal audit teams.

The Data Engineer will design and build data pipelines, perform data analysis, and create visual reports, while collaborating cross-functionally to drive operational improvements. Responsibilities include implementing data transformation/storage solutions and overseeing data governance.

Responsible for building and maintaining data architectures, pipelines, and systems for data analysis and processing. Collaborate with data scientists on machine learning models and ensure data quality and security.

Design, develop, and deploy ML/AI solutions including computer vision, NLP, and recommendation systems. Build scalable data pipelines and ML workflows on cloud and Databricks, optimize models, ensure secure performant code, and communicate technical solutions to cross-functional stakeholders.

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

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The Data Engineer will build and maintain data systems, ensuring accuracy and accessibility of data. Responsibilities include designing data architectures and collaborating with data scientists on machine learning models.

As a Data Engineer, you will build and maintain data pipeline systems, ensuring data accuracy and accessibility while collaborating with data scientists.

Design, build and maintain AWS-based data pipelines, data lakes and warehouses (Snowflake). Implement ETL/ELT using PySpark, DBT and Snowflake; ensure data quality, security, governance, and collaborate with data scientists to deploy ML models.

The BA-4 AWS Data Engineer builds and maintains data systems, collaborates with data scientists, and drives innovation in digital offerings, focusing on data architecture and analytics.

Design, build and maintain scalable data pipelines, data warehouses and data lakes using AWS and Snowflake. Develop data processing algorithms, support ML model deployment, ensure data governance and security, lead or guide a team, and collaborate with stakeholders to translate requirements into ETL/ELT solutions.

Designs, builds and maintains data pipelines, data warehouses and data lakes; implements processing and analysis algorithms; ensures data accuracy, security and accessibility; collaborates with data scientists to deploy ML models; may lead and supervise a team and enforce risk, controls and governance.

The role focuses on building and maintaining data architectures, including pipelines, warehouses, and lakes, while collaborating with data scientists and leading complex tasks to support business operations.

As a Staff Software Engineer, you will design, develop, and maintain data store components, collaborating with teams to create efficient solutions using tools like Golang and Kubernetes in a hybrid work environment.

Lead design and implementation of AWS cloud data solutions using Python and PySpark. Build ETL pipelines, analytics (Glue, Athena, Redshift), and cloud architectures. Produce HLD/LLD, run cloud readiness assessments, cost estimates, DR planning, and provide technical leadership across onshore-offshore teams while liaising with customers and managed services.

Design, build, and optimize scalable Snowflake data models and pipelines. Develop dbt transformations, orchestrate workflows with Airflow, write advanced SQL, ensure data quality and performance, collaborate with analytics teams, and maintain documentation.