Ab initio Developer

Primary skills:Technology- Data Management - Data Integration- Ab Initio
Key Responsibilities:
Design, develop, and maintain ETL workflows using Ab Initio to support enterprise data integration needs.
Build and enhance graphs in the Graphical Development Environment-GDE, ensuring readability, reusability, and performance.
Implement data extraction, transformation, and load processes with strong focus on data quality, reconciliation, and error handling.
Work with file systems and job execution on Co-Operating System, including scheduling, monitoring, and troubleshooting runs.
Analyze source-to-target mappings and translate business/technical requirements into scalable ETL designs.
Perform unit testing, integration testing support, and production validation for new and enhanced pipelines.
Tune ETL jobs for performance by optimizing partitioning, sorting, joins, and resource usage.
Investigate production issues, perform root-cause analysis, and implement preventive fixes with proper documentation.
Collaborate with cross-functional teams to ensure timely delivery, clear communication, and adherence to development standards.
Maintain technical documentation for workflows, operational procedures, and support handovers. Minimum Qualifications:
Bachelor’s degree (or equivalent) in Engineering/Technology/Computer Science (e.g., BTech/BE/MSc) or Master’s degree (e.g., MTech/MCA).
3–5 years of experience in data integration/ETL development with strong hands-on expertise in Ab Initio.
Proficiency in building ETL graphs using Ab Initio GDE and working with Co Operating System for execution and monitoring.
Strong understanding of ETL concepts, data transformations, and best practices for reliability and maintainability.
Ability to troubleshoot ETL failures and ensure stable production operations. Preferred Qualifications:
Experience designing reusable Ab Initio components, parameterized frameworks, and standardized patterns for faster delivery.
Strong exposure to performance tuning techniques in Ab Initio (partitioning strategies, parallelism, memory/resource optimization).
Experience working in structured delivery environments with version control, release processes, and operational support practices.
Ability to collaborate effectively with stakeholders to clarify requirements and propose practical, scalable ETL solutions.
Familiarity with data validation approaches, reconciliation checks, and building robust audit/control mechanisms in pipelines. Good to have skills: SQL, Unix Shell Scripting, Data Warehousing Concepts, Scheduling Tools Autosys/Control-M, Production Support & Monitoring

Work arrangement
No