Ab Initio Developer

*Job Role :- Abinitio Developer * *Location: Omaha, NE or Alpharetta, GA or Coral Springs, FL (5 days Onsite)* *Duration: Long Term* *Job Description:* We are seeking a skilled Ab Initio Developer to design, develop, and maintain high-performance ETL solutions using the Ab Initio platform. The ideal candidate will have strong hands-on experience in data integration, data warehousing, and performance optimization within large-scale enterprise environments. *Key Responsibilities:*

• Design, develop, and implement ETL processes using Ab Initio components (Graphical Development Environment, Co>Operating System, Express>It, Continuous Flows, etc.).
• Analyze, design, and optimize complex data workflows to ensure data quality, consistency, and performance.
• Collaborate with business analysts, data architects, and stakeholders to understand business requirements and translate them into technical solutions.
• Perform data extraction, transformation, and loading (ETL) from multiple sources into target data repositories.
• Troubleshoot and resolve technical issues in Ab Initio graphs, scripts, and data pipelines.
• Optimize data processing jobs for performance and scalability.
• Support production deployments, monitor job performance, and ensure data accuracy.
• Document technical designs, processes, and configurations.

*Required Skills & Qualifications:*

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5+ years of hands-on experience with Ab Initio tools (GDE, EME, Co>Op, Control Center, etc.).
• Strong proficiency in ETL design, data mapping, and data modeling concepts.
• Experience with SQL, Unix/Linux shell scripting, and working with RDBMS (e.g., Oracle, Teradata, SQL Server, DB2).
• Familiarity with data warehousing concepts and data governance best practices.
• Knowledge of continuous flows, PDL, meta-programming, and plans in Ab Initio.
• Strong problem-solving and debugging skills.
• Experience with version control, CI/CD, and Agile methodologies is a plus.

*Preferred Qualifications:*

• Experience with Big Data or Cloud platforms (AWS, Azure, GCP) for data integration.
• Knowledge of Ab Initio Metadata Hub, Conduct>It, or Data Profiler.
• Familiarity with Python, Autosys, or Control-M scheduling tools.

Good communication and collaboration skills with cross-functional teams.