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- Data Warehousing, Integration, or Engineering projects.
- Proficient in SQL.
- Hands-on experience with Azure technologies.
- Familiarity with Informatica Powercenter, IICS, Cognos, and Netezza Performance servers.
- Experience in at least one analytical platform: PowerBI, AzureML, Databricks, or Synapse.
- Proficiency in Python or Scala.
- Experience with Azure DevOps and GitHub (preferred).
Senior Data Engineer - Glastonbury, United States - Clark Davis Associates
Description
NO C2C
NO SPONSORING
NO C2C
Hybrid 3 days onsite