Job Location : Charlotte, NC (Onsite/Hybrid)Job DescriptionWe are seeking a highly skilled and hands-on
Ab Initio ETL Developer to design, develop, and optimize scalable data processing solutions. The ideal candidate will possess deep expertise in Ab Initio, strong SQL skills, and proven experience building high-performance ETL pipelines in enterprise data environments.
Required Skills & Qualifications- Strong hands-on experience with Ab Initio ETL tool
- Graph development
- Ab Initio components and parallel processing concepts
- GDE (Graphical Development Environment)
- Solid experience in SQL and relational databases (Oracle, Teradata, SQL Server, etc.)
- Good understanding of data warehousing concepts and ETL best practices
- Proven ability to design and optimize ETL workflows
- Experience working with large-scale data processing systems
- Strong skills in troubleshooting, debugging, and performance tuning
Key Responsibilities- Design, develop, and implement robust ETL workflows using Ab Initio, ensuring high performance and scalability
- Build and maintain Ab Initio graphs using components such as Reformat, Join, Partition, Sort, Rollup, and Lookup
- Utilize the Graphical Development Environment (GDE) for efficient ETL development, testing, and debugging
- Develop complex data transformation logic and ensure data integrity across multiple systems
- Integrate ETL pipelines with relational databases using advanced SQL queries
- Optimize ETL processes for performance, scalability, and reliability
- Conduct root cause analysis and troubleshoot production issues and data inconsistencies
- Collaborate with cross-functional teams including data architects, DBAs, and business stakeholders
- Support deployment, tuning, and monitoring of data pipelines across environments
- Ensure compliance with data governance, data quality, and security standards
Preferred Qualifications- Experience working in distributed and high-volume data environments
- Exposure to Unix/Linux shell scripting and job scheduling tools
- Familiarity with cloud platforms such as AWS or Azure
- Experience in data migration or modernization projects
- Understanding of Agile methodologies
The base compensation range for this role in the posted location is: 85786- 92651
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
