16 Oct
|
Sanas
|
Bengaluru
About the role
We are looking for a Data & BI Developer with 5-7 years of experience to build scalable data solutions and deliver business intelligence solutions using Microsoft Fabric and Power BI.
The role requires a solid combination of data engineering, ETL/ELT, Lakehouse development, data modeling, semantic modeling, and Power BI. Candidate should be comfortable working across the complete data lifecycle (Source data to BI Layer)
What you'll do
1. Data Engineering & Microsoft Fabric
• Develop data pipelines using Fabric Data Factory / Data Pipelines.
• Build and manage Lakehouse-based data platforms.
• Work with OneLake, Lakehouse, Data Warehouse, Notebooks, Spark, and SQL. • Implement Bronze, Silver, Gold / Curated data layers.
• Build reusable and scalable data ingestion and transformation processes.
• Work with structured and semi-structured data from multiple source systems. • Implement incremental loads, historical data processing, and data refresh strategies. • Monitor and troubleshoot data pipelines and resolve failures.
2. ETL / ELT & Data Transformation
• Develop robust ETL/ELT pipelines for data ingestion and transformation.
• Perform data cleansing, validation, standardization, and enrichment.
• Develop transformations using SQL and PySpark/Python.
• Implement appropriate error handling, logging, and monitoring.
• Optimize pipeline performance and processing time.
• Support large datasets and historical data requirements.
3. Data Modeling & Data Mart Development
• Develop fact and dimension tables using star-schema principles.
• Build analytical data marts for different business domains.
• Apply appropriate normalization and denormalization techniques.
• Create reusable and trusted datasets for BI and analytics.
• Ensure consistent business logic and KPI definitions.
• Work with stakeholders to translate business requirements into appropriate data models.
4. Power BI & BI Development
• Design and develop Power BI dashboards and reports.
• Develop o
📌 Senior Data (Bengaluru)
🏢 Sanas
📍 Bengaluru