Junior Data Engineer

Job Summary

A company is looking for a Junior to Mid-Level Data Engineer (AWS + PySpark + Glue).

Key Responsibilities

• Design, build, and maintain ETL pipelines using AWS Glue, PySpark, and Lambda
• Parse and transform nested JSON arrays with PySpark and handle large-scale transformations
• Collaborate with cross-functional teams to ensure delivery of high-quality data and monitor Glue jobs in production

Required Qualifications

• 2-4 years of hands-on Data Engineering experience
• Strong expertise in PySpark and proficiency in AWS Glue, Lambda, and core AWS data services
• Experience with data lakes, ETL architecture, and scalable data workflows
• Strong SQL skills for validation and transformation tasks
• Comfortable working with structured and semi-structured data formats