Ab Initio Data Engineer

Required Qualifications Bachelor’s degree in Computer Science, Engineering, or related technical field. 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development. Strong expertise with: Ab Initio GDE (Graphical Development Environment) Co>Operating System (Co>Op) Enterprise Meta>Environment (EME) Conduct>It Data Profiler and Continuous Flows Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS). Advanced SQL skills with experience in relational databases, especially DB2. Strong experience with Unix/Linux shell scripting. Solid understanding of data warehousing concepts: Dimensional modeling Slowly Changing Dimensions (SCD) Star and Snowflake schemas Experience designing and implementing Kafka-based data pipelines. Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing. Preferred Qualifications Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files Exposure to Kubernetes or OpenShift environments. Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures. Experience with API-based integrations and streaming data solutions. Prior experience as a technical lead or in client-facing architecture roles. Roles and Responsibilities Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE. Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows. Implement CDC (Change Data Capture) and near-real-time data processing pipelines. Manage metadata, lineage, and data governance activities within EME. Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes. Define development standards, review ETL code, and enforce Ab Initio best practices. Mentor junior and mid-level Ab Initio developers. Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.