SDLC/ALM

practices; and providing ongoing maintenance, modernization, and support for legacy MSBI environments. The successful candidate will possess excellent problem-solving and customer service skills, work closely with cross-functional stakeholders. This position is a 6 month contract role with possibility of extensions and/or conversion, and can pay between $60-70/hour with medical benefits and 401k options offered on contract. If interested, please apply! 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 HR@insightglobal.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/. Skills and Requirements

Bachelor's degree in business, information systems, or related fields
may be substituted with appropriate years of experience in similar domains.
7+ years of experience with Data Modeling (Relational and Dimensional) and ETL/ELT (Extract-Transform-Load), Pipeline development and orchestration, foundation data layer solution architecture
Experience with most or all of the following: including SQL, Python, R, Spark Scala, PySQL, SparkSQL, Azure infrastructure, MSBI
Strong SQL experience: SQL Server, T SQL, and SQL Server Analysis Services
Azure Data Engineering experience (Azure Data Factory, SQL database, DevOps) and experience with migration to Azure from legacy platforms

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Senior Data Engineer