Senior Data Engineer - ETL/Microsoft Fabric

Description :

- Design and implement end-to-end data pipelines using Azure Data Factory and/or Microsoft Fabric pipelines

- Build and maintain Medallion Architecture (Bronze, Silver, Gold layers) for scalable data processing

- Develop a semantic layer on top of curated data to support business reporting and analytics

- Transform raw data into clean, structured, and business-ready datasets

- Integrate data from multiple sources (SAP, SQL Server, APIs, CSV, etc.)

- Design and implement data models (Star Schema / Dimensional Modeling)

- Develop and optimize Power BI reports and dashboards

- Ensure data quality, governance, and security best practices

- Monitor and optimize pipeline performance and data refresh cycles.

- Troubleshoot and resolve production issues and data failures

- Collaborate with business stakeholders to understand and translate requirements into technical

solutions

Required Skills :

- Strong experience with Azure Data Factory (ADF) and/or Microsoft Fabric Pipelines

- Hands-on experience with Azure SQL, Lakehouse, Delta Tables

- Expertise in Medallion Architecture (Bronze, Silver, Gold)

- Strong experience in building semantic layers for reporting (Power BI datasets/models)

- Solid understanding of ETL/ELT processes

- Advanced knowledge of Data Modeling (Star Schema, Fact & Dimension tables)

- Strong SQL skills

- Experience with Power BI (DAX, Power Query, performance tuning)

- Experience integrating data from SAP or similar ERP systems

Good to Have :

- Experience with Delta Lake and Change Data Feed (CDF)

- Knowledge of Python / PySpark

- Experience with CI/CD pipelines (Azure DevOps)

- Exposure to large-scale production data environments

- Understanding of data governance frameworks

Experience Required :

- 5+ years of experience in Data Engineering / BI / Analytics

- 2+ years of experience working with Azure Data Platform or Microsoft Fabric

Education :

- Bachelors or Masters degree in Computer Science, Information Technology, or related field

Soft Skills :

- Strong problem-solving and analytical skills

- Ability to handle critical production environments and incidents

- Good communication skills with both technical and non-technical stakeholders

- Ability to work in a collaborative, fast-paced environment

Nice to Have (Project-Specific) :

- Experience handling production breakdowns and system rebuilds

- Experience working in global teams (EST/IST time zones)

- Exposure to data modernization projects