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Strong brand, remote role, mid-level data title and metro location increase competition despite niche Ab Initio requirement.
Requires specialized data engineering skills, Ab Initio knowledge and financial services experience, reducing cross-industry transferability.
Explicit 6+ years and mandatory Ab Initio/PySpark and financial services data experience enforce strict screening.
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Own end-to-end ETL build project deliverables using Ab Initio and PySpark including design, development, testing oversight, and production implementation.
Oversee vendor work, review technical designs, certify IT estimates and deliverables, and ensure compliance with data governance and architecture standards.
Drive efficiency, performance improvements, and governance across data warehouse functions while collaborating in an Agile Scrum environment.
Bachelor’s degree in IT, Computer Science or MCA.
Minimum 6 years of IT experience with at least 5 years in data management.
At least 6 years experience with ETL tools such as Ab Initio, Informatica, or PySpark.
Proficiency in Unix scripting, SQL, Ab Initio, PySpark, and familiarity with data warehouse, data architecture, and financial services domain.
Experienced in managing complex ETL data engineering projects with vendor coordination and quality assurance oversight.
Comfortable working in a Scaled Agile framework with strong expertise in Ab Initio and Big Data/Cloud technologies.
Skilled in technical governance, operational efficiency improvements, and maintaining regulatory and security compliance within financial services.