Design, develop, and maintain scalable Ab‑Initio ETL applications supporting large-scale data integration
Build and optimize batch and real-time data pipelines for high-throughput data processing
Translate complex business needs into efficient, robust, and fault-tolerant workflows
Perform performance tuning, debugging, and tuning of Ab‑Initio graphs and components
Validate data quality, carry out reconciliation, and ensure adherence to data governance standards
Collaborate with business analysts, data architects, QA, and operations teams to deliver integrated data solutions
Conduct code reviews, document workflows, and enforce best practices for scalable ETL design
Provide production support, conduct root cause analysis, and resolve technical issues promptly
Maintain technical documentation, data lineage, and metadata repositories
Stay current with emerging trends, tools, and regulatory requirements impacting data integration

Minimum 7+ years experience leading Ab‑Initio development within large-scale, enterprise environments
Proven experience designing, implementing, and supporting ETL workflows in financial or regulated industries
Strong understanding of data quality, reconciliation, and metadata management strategies
Demonstrated ability to troubleshoot performance bottlenecks and optimize workflows
Experience working in Agile teams, with emphasis on collaborative and iterative delivery
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields
Proven track record of building and supporting large-scale, highly available data pipelines in a regulated environment
Industry certification or formal training in Ab‑Initio (preferred)

Senior Ab-Initio Developer

Key skills