Description

Key Responsibilities:

  • Develop, maintain, and optimize complex data models using Python and Power BI.
  • Build ETL pipelines and transform raw data into structured models.
  • Implement star/snowflake schemas, data marts, and dimensional models to support BI needs.
  • Integrate Python scripts with Power BI for data transformation and automation.
  • Collaborate with business teams to understand data needs and ensure accurate data representation.
  • Design and deploy custom Power BI dashboards and reports driven by strong backend modeling.
  • Ensure data quality, integrity, and compliance with data governance standards.
  • Tune performance of datasets and queries for faster rendering and reporting.

 

Required Skills:

  • 5+ years of experience in Python development focused on data solutions.
  • 3+ years of hands-on experience with Power BI – including DAX, Power Query (M), and data visualization best practices.
  • Strong background in data modeling – relational and dimensional (star/snowflake schemas).
  • Proficiency in SQL (complex joins, stored procedures, optimization).
  • Experience with ETL frameworks and working with structured/unstructured data.
  • Understanding of data warehousing concepts, data governance, and metadata management.
  • Familiarity with Azure Data Services or other cloud platforms is a plus.

 

Nice to Have:

  • Experience with Azure Synapse, Data Factory, or Databricks.
  • Prior work with large-scale enterprise data (ERP/CRM/Financial systems).
  • Exposure to CI/CD practices for BI deployments.

 

Candidate Profile:

  • Strong logical thinking and problem-solving skills.
  • Excellent communication and documentation capabilities.
  • Prefer local to Phoenix, AZ or open to relocating.

Key Skills
Education

Any Graduate

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