Sr. AWS Data Engineer Only (USC or GC)

Job Title: Sr. AWS Data Engineer w/d SQL, Python Experience Location: Raleigh, NC or Smithfield, RI – Hybrid Exp Duration: Full Time Only USC or GC Overview The role will focus on modernizing legacy batch processing workloads, migrating and rewriting existing jobs into AWS Batch, enhancing cloud-based data ingestion capabilities, and improving data quality, lineage, inventory, resiliency, and operational support processes. The ideal candidate will have strong hands-on experience in data engineering, batch modernization, cloud-based data processing, SQL development, job scheduling, and enterprise data platform delivery. This role requires the ability to work across legacy and modern technology environments, collaborate with business and technology stakeholders, and deliver reliable, scalable, secure, and audit-ready data solutions. Experience Level: 9+ years of relevant data engineering experience, preferably in financial services, investment management, banking, or other highly regulated enterprise environments. Required Technical Skills Strong experience with Java Spring Batch for batch job development, migration, and modernization. Hands-on experience with AWS services, especially AWS Batch and Amazon S3. Strong SQL development experience, including Oracle SQL and PL/SQL concepts. Strong shell scripting experience using Bash, KornShell, or similar Unix/Linux scripting languages. Experience with Control-M or equivalent enterprise job scheduling and orchestration tools. Experience working with legacy batch processing environments and modernizing on-premises batch workloads to cloud-based platforms. Ability to analyze and convert legacy scripts, SQL loaders, stored procedures, and batch workflows into modern, maintainable data processing jobs. Experience with data ingestion, ETL/ELT development, data validation, reconciliation, and production support. Understanding of secure access patterns, credential management, least-privilege controls, and audit-focused data processing. Experience with CI/CD, code deployment, version control, and standard software engineering practices. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related field, or equivalent practical experience. Certifications AWS certification, Snowflake certification, or relevant cloud/data engineering certification is preferred but not mandatory. Responsibilities Modernized and rewritten batch jobs deployed to AWS Batch. Enhanced Rapid Data Ingestion platform capabilities. Data quality checks, validation routines, and exception handling processes. Data lineage and metadata capture support. File inventory management capabilities for incoming data feeds. Disaster recovery support for AWS-based ingestion processes. Secure application-specific access patterns and reduced credential-sharing risk. Control-M or equivalent job schedules and operational workflows. Technical documentation, deployment notes, runbooks, and support procedures. Data validation, reconciliation, performance tuning, and production support outcomes. #J-18808-Ljbffr PRI Global