Job Title: Data Engineer (AWS ETL)
Location: Sacramento CA Hybrid (2-3 days)
Job Type: Long-term Contract
MINIMUM TECHNICAL QUALIFICATIONS
Required Qualifications:
3 6 years of hands-on experience in Data Engineering with a focus on AWS Glue and ETL development.
Strong proficiency in Python SQL and PySpark.
Experience working with data lakes data warehouses and cloud-based data ecosystems.
Solid understanding of ETL principles data ingestion transformation and scheduling.
Working knowledge of AWS services including S3 Lambda Redshift Athena CloudWatch and IAM.
Experience with schema evolution data partitioning and catalog management using Glue Data Catalog.
Familiarity with DevOps tools and practices for deploying data pipelines.
Ability to troubleshoot and debug large-scale distributed data processing jobs.
Strong problem-solving skills and attention to detail.
Preferred Qualifications:
AWS Certification (e.g. AWS Certified Data Analytics Specialty AWS Certified Developer Associate).
Prior experience supporting AWS initiatives for public sector is a plus