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Job Description
Structured overview of role & requirementsAbout This Role
Architect, design, and deliver large-scale enterprise data integration, ETL/ELT pipelines, and data warehousing solutions using Ab Initio, Python, and Oracle DB.
Lead end-to-end data delivery across SDLC, define data architecture and modeling standards, implement automated CI/CD pipelines, and ensure operational monitoring and production resilience.
Manage stakeholder collaboration translating business/regulatory requirements into technical specs and mentor mid-level/junior data engineering teams establishing engineering standards.
Minimum Requirements
10+ years of professional experience in data engineering, data warehousing, and ETL development with 3+ years in technical leadership roles.
Strong expertise in Ab Initio ETL tools, advanced Python 3.x data engineering, and Oracle 19c+ with PL/SQL development and performance tuning.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Data Analytics, or equivalent quantitative discipline.
Experience building and managing CI/CD pipelines using Jenkins, Harness, Tekton, GitLab CI or similar tools, plus Linux/Unix shell scripting and job scheduling tools (e.g., Autosys, Control-M).
Ideal Candidate Profile
Deep technical leader with proven ability to architect and optimize high-volume batch and real-time ETL pipelines and large-scale data warehousing solutions.
Experienced in translating complex business and regulatory requirements into detailed technical architectures and delivering within Agile environments.
Background in banking/financial services domain or large enterprise data systems, skilled at collaborating with diverse stakeholders and driving operational excellence.