Job description

Azure Data Engineer, Manager JD: Common Skills • Azure Data Lake (Mandatory) • Data Factory (Mandatory) • Data bricks (optional if they have Spark or another language) • Synapse/SQL Datawarehouse - (Mandatory) • Scala or Python or Spark, #C/.Net- working knowledge of one of the languages below (should know 1) (Mandatory) • Manager + should have good knowledge on full stack/architecture • Leverage CI/CD frameworks in data pipelines • Data modeling (Mandatory) Trained Skills • Alerts & monitoring- log analytics/application insights • Power BI/analytics • Tableau or Mendix • Middleware application development • NoSQL • Purview (Chevron and Williams) • Azure Client • Grafana • Analysis services Lead - Manager, Azure Data Engineer Notes: 1 Position (End Client - Energy) Completely remote (CST) 3 Data Engineers and 1 Manager Level Overview of Project: Project is migration of informatica and oracle existing on prem data warehouse. Decommission and build new platform under Azure. Data Lakes/Data Factory - Data Engineering Background - Mandatory Skill List for Data Engineer Difference between Engineer and Manager: More than experience, need Sr. People that will help with Architecture, ETL Processes, etc. Someone who understands more Architecture Engineer - Hands on Pipelines 6 Months Remote - Doesn't matter where they are - Central Time Team Size - India and US - 15 - 20 people Agile Processes, Sprint Planning Meetings, SCRUM calls daily, etc. Agile DevOps Work with Tech Lead on User Stories, etc. Scala or Python (Scala is preferred) No Industry Specific Background Needed - just the technical piece

Requirements