Description

You will build and optimize data models and ETL pipelines to support business intelligence requirements.

Responsibilities

• Develop and maintain complex data models using Python and Power BI.
• Build ETL pipelines to transform raw data into structured models and data marts.
• Implement star and snowflake schemas, dimensional models, and relational structures.
• Integrate Python scripts with Power BI for automation and data transformation.
• Design and deploy custom Power BI dashboards and tune dataset performance for faster rendering.

Required Skills

• 5+ years of Python development experience focused on data solutions.
• 3+ years of hands-on experience with Power BI, including DAX and Power Query (M).
• Proficiency in SQL, including complex joins, stored procedures, and query optimization.
• Strong background in relational and dimensional data modeling.
• Experience with ETL frameworks and handling structured and unstructured data.
• Knowledge of data warehousing concepts, data governance, and metadata management.
• Strong logical thinking, problem-solving, and documentation skills.
• Any Graduate degree.

Preferred Skills

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

Key Skills

Education

Any Graduate