Ab Initio Developer

STAFFXPERT LLC is seeking an Ab Initio Developer on behalf of our client in Memphis/Collierville, TN. This role is ideal for a hands-on data engineering professional with strong experience in Ab Initio development, ETL processing, scheduling, and production support. The successful candidate will work on designing, developing, and maintaining data processing solutions while ensuring reliable batch operations and data workflow execution in a fast-paced environment. Key Responsibilities Design, develop, and maintain Ab Initio ETL and data processing applications. Implement and manage business rules using the Ab Initio Business Rules Environment (BRE). Configure, schedule, monitor, and troubleshoot workflows using Ab Initio Control Center. Develop and maintain Ab Initio Plans and Continuous Flows. Create and support Shell scripts for automation, batch processing, and operational efficiency. Write, optimize, and validate SQL queries for data extraction, transformation, and analysis. Monitor production jobs, troubleshoot issues, and ensure timely resolution of workflow failures. Collaborate with cross-functional teams to support data integration and business requirements. Assist with data quality validation and performance tuning of ETL processes. Support cloud-based environments and data workflows utilizing AWS services.

Strong hands-on experience with Ab Initio development and ETL/data integration projects. Experience working with Ab Initio BRE (Business Rules Environment). Proficiency with Ab Initio Control Center, including job scheduling and monitoring. Solid understanding of Ab Initio Plans and Continuous Flows. Strong Shell scripting skills for automation and batch processing. Good working knowledge of SQL, including query development and optimization. Basic understanding of AWS cloud services and concepts. Experience supporting batch processing systems and scheduled production workflows. Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills. Preferred Qualifications Experience working in enterprise-scale data engineering or data integration environments. Familiarity with production support processes and operational monitoring. Knowledge of data governance, data quality, and performance optimization best practices.