Pyspark+ PowerBi developer

Data Engineering (PySpark):

• Design, develop, and optimize robust ETL pipelines using PySpark .
• Handle large volumes of structured and unstructured data.
• Implement data quality checks, deduplication, and validation logic.
• Integrate data from multiple sources like APIs, databases, cloud storages (Azure/AWS/GCP).
• Schedule and monitor Spark jobs using orchestration tools (ADF, Airflow, etc.).

Data Visualization (Power BI):

• Design and build Power BI dashboards and reports based on business requirements.
• Implement DAX expressions, calculated columns, and measures.
• Develop data models with star/snowflake schemas optimized for reporting.
• Publish and manage datasets and reports on Power BI Service and workspaces .

Collaboration:

• Work closely with Business Analysts, Data Scientists, and Product Teams to gather requirements.
• Translate data insights into business-relevant dashboards and reports.
• Provide ad-hoc analysis and insights for leadership decision-making.
• Azure, Pyspark, Powerbi

Role: DBA / Data warehousing - Other

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: DBA / Data warehousing

Education

UG: Any Graduate

PG: Any Postgraduate