Data Engineer

Role & responsibilities

• 6+ years of experience in data engineering, specifically in cloud environments like AWS.
• Proficiency in Python and PySpark for data processing and transformation tasks.
• Solid experience with AWS Glue for ETL jobs and managing data workflows.
• Hands-on experience with AWS Data Pipeline (DPL) for workflow orchestration.
• Strong experience with AWS services such as S3, Lambda, Redshift, RDS, and EC2.
• Deep understanding of ETL concepts and best practices..
• Strong knowledge of SQL for querying and manipulating relational and semi-structured data.
• Experience with Data Warehousing and Big Data technologies, specifically within AWS.