Ab Initio Programmer

• Design and develop ETL processes using Ab Initio tools, including the Graphical Development Environment (GDE), Co>Operating System, and the Ab Initio Express>It framework.
• Work with business analysts and stakeholders to understand data requirements and translate them into technical specifications and data models.
• Implement data transformation and data quality rules to ensure accuracy and consistency of data.
• Create and maintain reusable components and templates to improve development efficiency.
• Develop shell scripts for job scheduling, automation, and monitoring.
• Perform unit testing, integration testing, and support user acceptance testing (UAT) to ensure solutions are bug-free and meet business requirements.
• Troubleshoot and debug issues within Ab Initio graphs and data pipelines, and provide timely resolutions.
• Optimize and tune existing Ab Initio graphs for performance and scalability.
• Participate in code reviews to maintain high-quality development standards and provide constructive feedback to peers.

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Minimum of 3+ years of hands-on experience as an Ab Initio Developer.
• Proven expertise with the core Ab Initio tools, including GDE, Co>Operating System, and Metadata Hub.
• Strong knowledge of data warehousing concepts, ETL processes, and dimensional modeling.
• Proficiency in SQL and experience working with various relational databases (e.g., Oracle, SQL Server, Teradata).
• Experience with Unix/Linux shell scripting (Bash, KornShell) for automation and job control.
• Excellent analytical and problem-solving skills with a keen eye for detail.
• Strong communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Experience with other Ab Initio products such as Continuous Flows, Data Profiler, or the Enterprise Meta>Environment (EME).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and data technologies in a cloud environment.
• Knowledge of big data technologies like Hadoop, Spark, or similar.
• Experience with job schedulers such as Control-M, Tidal, or Autosys.
• Previous experience in the financial services, telecommunications, or healthcare industry

Up to $65 an hour - Contract