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Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture, design, and delivery of enterprise-scale ETL/ELT pipelines and data warehousing solutions using Ab Initio, Python, and Oracle DB.
Oversee end-to-end data delivery across SDLC, implement automated CI/CD pipelines, and ensure performance tuning for high-volume batch and real-time processing.
Manage cross-functional stakeholder collaboration, enforce data governance, and mentor data engineering teams to uphold engineering standards.
Minimum Requirements
10+ years professional experience in data engineering or ETL development with at least 3 years in technical leadership roles.
Expertise in Ab Initio, advanced Python data engineering (using libraries like Pandas, NumPy, PyArrow), and Oracle 19c+ with PL/SQL programming.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Data Analytics, or equivalent quantitative field.
Experience with CI/CD tools (Jenkins, Harness, Tekton, GitLab CI), version control (Git/Bitbucket), and Linux/Unix shell scripting.
Ideal Candidate Profile
Proven ability to design and optimize large-scale data pipelines handling multi-terabyte datasets within SLA constraints.
Experienced in translating complex business and regulatory requirements into technical data architectures and source-to-target mappings.
Background in banking or financial services domains, with strong communication skills to liaise between technical teams and senior business stakeholders.