We are looking for an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and data warehousing solutions using AWS services. The ideal candidate should have strong hands-on expertise with AWS Lambda, Glue, and Redshift, along with proficiency in Python and SQL to support data processing and analytics workloads.
Responsibilities:
- Develop and manage ETL pipelines using AWS Glue and AWS Lambda functions.
- Design and optimize data warehousing solutions on Amazon Redshift.
- Write efficient Python scripts and SQL queries for data transformation and analysis.
- Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions.
- Monitor and troubleshoot data workflows to ensure high performance and reliability.
- Implement best practices for data security, governance, and quality.