Job Title: Senior Data Engineer Location: McLean, VA (Onsite) Interview Type: In-Person Only Duration: 3 Months Project Overview: One of our Client is seeking a highly skilled Senior Data Engineer with strong experience in PySpark/Python-based microservices, AWS EKS, and PostgreSQL to lead the migration of a legacy system built on Informatica, SAS, and DB2 to a modern cloud-native architecture. The ideal candidate will have a deep understanding of both legacy and modern data ecosystems and be capable of driving end-to-end migration and modernization efforts. Key Responsibilities: • Analyze and understand the existing system built on Informatica, SAS, and DB2. • Design and develop scalable PySpark/Python-based microservices deployed on AWS EKS. • Migrate data and workflows to PostgreSQL and Snowflake. • Implement automated testing using Behave/Cucumber and PyTest. • Ensure code quality and security using SonarQube and Fortify. • Collaborate with UI developers for the 10% Angular-based front-end work. • Participate in CI/CD processes using Jenkins. • Document technical designs, migration plans, and deployment strategies. Must-Have Qualifications: • 5+ years of experience in software/data engineering. • Strong hands-on experience with: • PySpark, Python 3.11 • AWS EKS, Kubernetes • PostgreSQL, Snowflake • SAS, Informatica • DB2 (for legacy understanding) • Behave/Cucumber, PyTest • SonarQube, Fortify • Jenkins • Experience with Spark 3.5, Hadoop 3, and Hadoop 2.3.4. • Proven track record of migrating legacy systems to modern cloud-based architectures. Nice-to-Have: • Experience with Angular (10% of the project involves UI work). • Familiarity with Agile methodologies and DevOps practices.