Job Summary: We are seeking a skilled Ab Initio ETL Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing, testing, and maintaining scalable ETL solutions using Ab Initio to support enterprise data integration, data warehousing, and analytics platforms. Key Responsibilities: Design and develop ETL workflows using Ab Initio GDE, Co>Operating System, and Conduct>It. Analyze source data and business requirements to create detailed technical specifications. Implement and optimize complex data pipelines and transformation logic. Monitor, troubleshoot, and tune ETL jobs for performance and reliability. Ensure data quality, data governance, and security standards are maintained. Collaborate with data analysts, architects, and other stakeholders to deliver high-quality solutions. Document ETL processes, mappings, and data lineage. Participate in code reviews, testing, and deployment processes. Support and enhance existing Ab Initio ETL jobs and resolve production issues. Required Qualifications: Bachelor’s degree in Computer Science, Information Systems, or related field. 3+ years of hands-on experience with Ab Initio ETL tools. Strong SQL and database development experience (e.g., Oracle, Teradata, SQL Server). Proficiency with Ab Initio components such as GDE, EME, Co>Operating System, and Conduct>It. Solid understanding of data warehousing concepts, data modeling, and data integration best practices. Experience in performance tuning and error handling in ETL environments. Preferred Qualifications: Experience with Big Data ecosystems (Hadoop, Hive, HDFS). Familiarity with scripting languages (Shell, Python). Knowledge of job scheduling tools (Control-M, Autosys). Experience in Agile/Scrum methodologies. Prior experience in the financial, healthcare, or retail industries is a plus. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to work independently and in a team-oriented environment. Attention to detail and commitment to data accuracy. Job Type: Contract Pay: $53.92 per hour Work Location: Remote