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Job Description
Structured overview of role & requirementsAbout This Role
Build, enhance, and test scalable data pipelines using Ab initio for Enterprise Data Lake and Data Warehouse applications.
Collaborate with cross-functional teams including Product Owners, Managers, and Data Engineers in a Scaled Agile environment to ensure data quality and integration.
Ensure proper documentation of data lineage in enterprise metadata repositories and support data profiling and analysis for ingestion and curation.
Minimum Requirements
Minimum 3 years hands-on experience building and maintaining Ab initio data pipelines.
Proficiency in shell scripting, complex SQL queries, and familiarity with CI-CD tools like Cloud Bees and Bitbucket.
Knowledge of Cloud environments such as AWS and databases like Oracle.
Bachelor's degree in a quantitative field (Engineering, Computer Science) with 1+ years experience or 3+ years IT experience in financial services; work hours aligned to US Eastern Time 6 AM - 11:30 AM with flexibility.
Ideal Candidate Profile
Experienced working in Agile or SAFe methodology-driven environments with fast-paced iterative delivery.
Familiarity with financial industry or credit processing domain is an advantage.
Capable of collaborating effectively with IT and business stakeholders to develop data solutions with strong documentation practices.