AWS Data Engineer - Python / PySpark

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and architectures using AWS services.
• Implement ETL / ELT processes using AWS Glue, Lambda, and Step Functions.
• Work with structured and unstructured data across S3, Redshift, and other AWS data services.
• Develop data integration workflows to collect, process, and store data efficiently.
• Optimize performance and cost of data pipelines.
• Monitor and troubleshoot data pipeline failures using CloudWatch and related tools.
• Collaborate with data analysts, data scientists, and other stakeholders to ensure data availability and quality.
• Apply best practices for security and governance of data assets on Skills :
• 3+ years of experience in Python, SQL, and PySpark.

2+ years of experience with AWS services such as :

Preferred Qualifications :

(ref : hirist.tech)