Lead ETL Developer

nsight Global is seeking a remote ETL Developer to support a federal government client able to work 100% remote. The ideal candidate is able to work in a consultative approach with clients, has solid experience in ETL developmentexperience.

The ETL Developer will be loading data on a weekly basis in a large Compliance Data Warehouse. Basic Qualifications: Bachelors Degree in Computer Science, IT, Computer Engineering, or related field Strong SQL development experience, data modeling and database security Knowledge of /familiar with, Sap Data Services Experience using SQL tools Experience conducting ETL processes on large XML, flat files, and database table data sources Experience working in Unix and Linux Familiarity with tax and financial data We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HRinsightglobal. com.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Support extract, transform, and load (ETL) processes for SAP/Sybase IQ database and support programs and processes to load update. Create and maintain SQL scripts, stored procedures, and other program logic to create, update, and delete data. Design and implement schema changes, manage indexes, and alter data objects to optimize performance.

Design efficient data models from a logical design based on business requirements and available use patterns. Identify entity relationships, referential integrity constraints, and primary key structures. Perform analysis of tradeoffs between alternative schemas. Create and maintain documentation that includes file specifications, schema, core record layouts, programs, business requirements, test plans, and other artifacts used in the administration, creation, and execution of database operations