Data Transformation Developer

ETL Developer Required Skills & Experience Enterprise ETL/Data Integration – Strong experience designing, developing, testing, and supporting enterprise ETL and data integration solutions. ETL Migration/Modernization – Experience analyzing existing ETL processes and translating complex transformation logic from one ETL platform to another. SQL and Oracle – Advanced SQL development skills, including complex queries, joins, CTEs, analytic/window functions, data type conversions, NULL handling, and query optimization. Data Transformation – Experience with data mapping, lookups, filtering, conditional processing, aggregation, validation, and business-rule implementation. XML and JSON – Experience processing, transforming, and generating XML and JSON data. Python/Scripting – Ability to use Python and scripting when native FME functionality is insufficient or when scripting provides a more maintainable solution. Data Validation and Reconciliation – Ability to compare legacy and migrated ETL processes and verify record counts, field values, data types, business rules, and output results. Troubleshooting – Experience diagnosing and resolving ETL failures, data-quality issues, integration problems, and performance issues. Technical Documentation – Ability to document transformation logic, data mappings, dependencies, configuration, operational procedures, and support requirements. Technical Communication – Ability to work independently while collaborating effectively with technical staff, business stakeholders, and subject matter experts.

Job Description A client of Insight Global is looking for a developer to support their team. This individual will be supporting ETL and data integration. Pay Rate: $52-55/hr