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Tech Stack
Tools & technologiesApacheAzureETLNumpyPandasPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Design and develop data pipelines using Microsoft Fabric Data Factory
- Create and maintain Lakehouse and Warehouse solutions within Microsoft Fabric
- Implement and manage Bronze, Silver, and Gold Layer architectures
- Develop scalable ETL/ELT pipelines for ingesting and transforming data from multiple sources
- Monitor pipeline performance and troubleshoot data quality issues
- Design and develop Fact Tables and Dimension Tables following dimensional modeling principles
- Create and maintain Star Schema and Snowflake Schema data models
- Define surrogate keys, business keys, and Slowly Changing Dimensions (SCD) where required
- Optimize data models for reporting and analytics performance
- Write complex SQL queries for data extraction, transformation, and validation
- Build views, stored procedures, and reusable query frameworks
- Perform query optimization and performance tuning
- Develop Python-based data transformation and validation scripts using Pandas, NumPy, PySpark, and Requests
- Automate data quality checks and reconciliation processes
- Partner with business stakeholders to gather reporting and analytics requirements
- Develop datasets optimized for Power BI reporting
- Support creation of KPIs, metrics, and business data definitions
- Ensure data governance and consistency across analytical solutions
Requirements
What you’ll need- 3-7 years of experience in Data Analytics, Data Engineering, or Business Intelligence
- Minimum 2 years of hands-on experience with Microsoft Fabric or Azure-based analytics platforms
- Proven experience building Fact Tables, Dimension Tables, Data Pipelines, and Power BI datasets
- Experience with Microsoft Azure Data Services
- Experience with Delta Tables and Apache Spark
- Familiarity with CI/CD and Git-based development
- Understanding of data governance and lineage concepts
- Microsoft Fabric Certification preferred: DP-600, DP-700
Benefits
Comp & perks- Employees can work remotely