Description

You will build and manage ETL pipelines within the AWS ecosystem.

Responsibilities

• Design, develop, and maintain ETL processes using AWS Glue to extract, transform, and load data from diverse sources.
• Integrate AWS Glue with Amazon S3, Redshift, SQL Server, and Oracle DB to ensure seamless data integration.
• Implement data transformation and cleansing processes to maintain data accuracy and consistency.
• Orchestrate data pipelines to move data into data lakes and data warehouses.

Required Skills

• 5+ years of experience in data engineering or ETL development.
• Expertise in AWS Glue and Amazon Web Services (AWS).
• Proficiency in Python and PySpark for data processing.
• Hands-on experience with data warehousing and pipeline orchestration.
• Strong knowledge of Database Management Systems (DBMS).
• Experience with data cleaning and transformation workflows.
• Ability to integrate cloud services with SQL Server and Oracle DB.

Preferred Skills

• Any graduate degree.

Key Skills

Education

ANY GRADUATE