Position Title | ETL Developer | | Requisition Date | 4/14/2026 9:13:55 AM |
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No. of Position(s) | 4 | | Last Updated On | 4/22/2026 3:13:35 PM |
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Job Location | Baton Rouge, LA, USA | | Covered | No |
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Bill Rate Range | 65 | | Employment Type | Temporary |
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Estimated Duration (In Months) | 41 | | Work Model | Hybrid |
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Must have Skills/Attributes | AWS, Cloud, Data Migration, ETL, Informatica, Integration Experience, Python, SQL, Talend | | Shift | 8:00 AM - 5:00 PM |
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Nice to have Skills/Attributes | | | Right To Represent | |
TA Notes
The Senior ETL developer must have worked on two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM). Must have strong experience in enterprise ETL tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or SSIS, and scripting languages such as Python, PowerShell, Java, along with strong SQL experience.
Required Skills:
• Two (2) plus years of advanced SQL experience writing complex queries, joins, and stored procedures to identify anomalies and transform data types
• Four (4) plus years of experience working on data migration or data integration projects with specific experience in building automated, repeatable workflows; performance tuning; data cleansing; API integration; audit logging; and exception handling
Preferred Skills:
• Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM)
• Experience with enterprise ETL tools such as Informatica, Talend, AWS Glue, Azure Data Factory, or SSIS.
• Experience with scripting languages such as Python, PowerShell, and Java
• Experience working on a development team
• Experience with client engagements on design, delivery, deployment, and ongoing maintenance
• Previous experience working in an Agile/Scrum environment
Job Duties:
• Design, develop, and maintain ETL processes and systems
• Create and implement ETL strategies to meet client requirements
• Collect, clean, and integrate data from various sources, including structured and unstructured data
• Develop and maintain data models and data mappings
• Ensure data quality and integrity by implementing data validation and error handling processes
• Collaborate with client stakeholders and technical teams to define and prioritize requirements
• Provide technical knowledge transfer, training, and documentation to the client and client Agency staff for all requested work
• Participate by providing feedback and detailed design and implementation approaches in all necessary team meetings and design sessions in accordance with Scrum ceremonies
• Cooperation with the client’s Technical Architect and other client technical teams to ensure compliance with client standards of State applications
• Perform all other tasks, special projects, analysis, studies, and plans as directed
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