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Ab Initio ETL Developer
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-08
Listing for:
Capgemini
Full Time
position Listed on 2026-06-08
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst
Job Description & How to Apply Below
Job Location :
Charlotte, NC (Onsite/Hybrid)
Job Description We 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 Expertise in:
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 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…
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