Data Engineer (PySpark)

Role : Data Engineer

Location : Pune (On-site)

Job Type : Full-Time

Experience : 4–7 Years

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Work with large datasets using PySpark , Python , and SQL to ensure efficient data transformation and integration.
• Implement data solutions on AWS, leveraging services like S3, Glue, Lambda, and Redshift.
• Collaborate with cross-functional teams to define data requirements and optimize data flows.
• Work within Databricks to develop and deploy data engineering solutions.
• Ensure data quality, reliability, and security across all environments.
• Monitor and optimize data processes for performance and cost efficiency.

Required Skills

Good to Have