Senior Data Engineer Azure Databricks & Power BI

Overview

On Site
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Data Governance
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Analytical Skill
Business Intelligence
Cloud Computing
Communication
DAX
Extract
Transform
Load
Management
Microsoft Azure
Microsoft Power BI
Performance Tuning
Data Lake
Data Modeling
Data Warehouse
Databricks
DevOps
Snow Flake Schema
Version Control
Visualization
ELT
Git
Problem Solving
PySpark
Python
SQL
SQL Azure
Unity

Job Details

Technical Skills Required:
  • Azure Cloud Services: Azure Databricks, Data Factory, Data Lake, Synapse, Azure SQL Database, Key Vault.
  • Programming: Python, PySpark, SQL, DAX.
  • Visualization Tools: Power BI (Advanced DAX, Row-Level Security, Data Modeling, Performance Optimization).
  • Data Concepts: ETL/ELT, Data Warehousing, Data Modeling (Star/Snowflake), Data Governance.
  • Version Control & DevOps: Git, Azure DevOps, CI/CD pipelines for data projects.
  • Other Skills (Good to Have):
    • Experience with Delta Lake and Medallion architecture.
    • Familiarity with REST APIs and integration with external data sources.
    • Exposure to Databricks Unity Catalog and Workspace management.
Qualifications:
  • Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 8 years of experience in Data Engineering or BI development.
  • Minimum of 3+ years of hands-on experience with Azure Databricks and Power BI.
  • Proven track record of delivering scalable and performant data solutions in cloud environments.
  • Strong analytical, problem-solving, and communication skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.