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The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. |
Job Summary
We are looking for an experienced Ab Initio Developer with 5+ years of hands-on experience in designing and developing large-scale data integration and ETL solutions. The ideal candidate should have strong expertise in Ab Initio tools, data warehousing concepts, and performance optimization.
Key Responsibilities
- Design, develop, and support ETL workflows using Ab Initio (GDE)
- Develop and maintain complex Ab Initio graphs
- Work with components such as Reformat, Join, Rollup, Scan, Partition, Sort, etc.
- Implement data integration solutions from multiple source systems
- Handle large volume data processing with performance tuning
- Work with Co>Operating System, EME, and Conduct>It
- Perform data analysis, data validation, and troubleshooting
- Collaborate with business analysts, DBAs, and data architects
- Support production deployments and resolve performance issues
B.E/B.Tech
Required Skills & Qualifications
- 5+ years of experience in Ab Initio development
- Strong hands-on experience with GDE (Graphical Development Environment)
- Experience with EME, Conduct>It, and Co>Operating System
- Strong knowledge of ETL concepts and Data Warehousing
- Experience in handling large datasets and performance tuning
- Strong SQL skills (Oracle / SQL Server / Teradata)
- Knowledge of Unix/Linux shell scripting
- Understanding of data modeling concepts
Preferred Skills
- Experience in Banking / Financial Services domain
- Knowledge of scheduling tools (Autosys, Control-M)
- Experience with file formats like XML, JSON, fixed-width, CSV
- Exposure to cloud data platforms (AWS / Azure)
- Experience with data migration and modernization projects
Base and work location - Pune