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Sr Data Engineer - INTL - India
- Insight Global (Arden Hills, MN)
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Job Description
Insight Global is seeking a Sr Data Engineer to join the analytics organization at a global medical device client. In this role, you will be a part of their data analytics product team to support corporate functions analytics initiatives, with a particular focus on product data. The data engineers on this team are responsible for hands on coding within python and SQL to create the data analytics product. The tech stack includes AWS, Snowflake data warehousing, python and SQL. The project will follow typical agile sprints and leverage Jira for user story grooming and status tracking. The primary objective is to create end-to-end data pipelines for multiple source systems into AWS/Snowflake.
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 [email protected] 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
• 5-7+ years of professional data engineering experience
• Experience working with AWS architecture (RDS, Glue, EMR, EC2, S3, Postgres, EMR, etc..).
• Language experience: SQL, spark, python and knowledge of DBT/SNF flavors of SQL.
• Snowflake data warehousing experience.
• Python & SQL coding expertise.
• Strong understanding and experience working in an Agile Scrum Delivery environment.
• Experience working on a globally dispersed team.
• English speaking. • Experience working on a Data Product Team building re-usable data assets.
• Understanding of Medallion architecture for data products.
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