Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
3i Infotech is seeking a highly skilled Informatica ETL Developer with over eight years of experience to join our data engineering team in Abu Dhabi, UAE. You will own enterprise ETL/ELT pipelines, collaborate with data architects, and ensure high-availability data delivery with strict SLAs.
You will develop and optimize Informatica PowerCenter mappings, sessions, and workflows while tuning SQL queries for maximum throughput.
3i Infotech is seeking a highly skilled, seasoned Informatica ETL Developer with over eight years of experience to join our enterprise data engineering operations in Abu Dhabi, United Arab Emirates. In this mission-critical technical role, you will take ownership of designing, building, deploying, and maintaining scalable enterprise ETL and ELT data pipelines that power analytical platforms and business-critical systems. Leveraging at least five years of specialized hands-on expertise in Informatica PowerCenter, you will collaborate with data architects to optimize database performance, enforce strict data load SLAs, and ensure seamless business-as-usual (BAU) operational continuity. This position offers an outstanding platform for an accomplished data integration specialist to deliver high-impact data solutions within a premier global technology services provider.
As an Informatica ETL Developer at 3i Infotech in Abu Dhabi, you will hold comprehensive technical responsibility for enterprise data integration workflows, high-throughput batch transformations, and complex data pipeline architectures. Operating at the vital intersection of data modeling and operational data delivery, you will partner closely with Data Modelers, Data Architects, database administrators, and business stakeholders to translate complex business rules into robust, high-performance data warehousing solutions.
Your core technical scope encompasses developing and optimizing advanced Informatica PowerCenter mappings, sessions, and workflows, alongside tuning intricate SQL queries to maximize data throughput and minimize latency. You will actively manage data extraction from heterogeneous source systems, implement error handling and audit logging frameworks, and diagnose performance bottlenecks across large-scale relational databases and data repositories. Furthermore, you will take full ownership of production data load SLAs, troubleshoot root causes of job failures, provide Tier-3 BAU operational support, and uphold rigorous data engineering documentation and governance best practices. This role demands sharp diagnostic problem-solving capabilities, proven data warehousing rigor, and a steadfast dedication to high-availability enterprise data delivery.