Remote Data Ingestion Engineer Job at Insight Global, Norfolk, VA

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  • Insight Global
  • Norfolk, VA

Job Description

Job Description Insight Global is looking for a Remote Data Ingestion Engineer who will be responsible for designing and developing data solutions to support business operations and analytics. This role will participate in all aspects of the development lifecycle from scoping and requirements through implementation and support. The Data Ingestion Engineer will be contribute to evolution of the processes and standards necessary to enable the development team to deliver quality, compliant, and timely solutions. This position is looking to pay around $57-$60 per hour 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: Skills and Requirements - 5-7 years minimum Microsoft SQL Server, SQL-T, ETL Experience - 5 years Databricks experience - 5 years of Azure Data Factory - SQL Server Integration Services (SSIS) * SSIS package development experience *Computer Science Degree Screening question examples: 1. What are your contributions to a specific project and what work did you perform. What was the details of the work completed? 2. What is Panda DataFrame vs Spark DataFrame? 3. What areas did you contribute with data pipelining with azure data factors? - Excellent Troubleshooting experience using above technologies - Agile experience with Azure DevOps - Healthcare experience

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