Posted on: 30/09/2025
We are seeking a highly skilled Fabric Data Engineer with strong expertise in Azure ecosystem to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with Microsoft Fabric, Databricks, Azure Data Factory, PySpark, SQL, and other Azure services to support advanced analytics and data-driven decision-making.
Key Responsibilities :
- Implement data integration, transformation, and orchestration workflows with Azure Data Factory, Databricks, and PySpark.
- Work with stakeholders to understand business requirements and translate them into robust data solutions.
- Optimize performance and ensure data quality, reliability, and security across all layers.
- Develop and maintain data models, metadata, and documentation to support analytics and reporting.
- Collaborate with data scientists, analysts, and business teams to deliver insights-driven solutions.
- Stay updated with emerging Azure and Fabric technologies to recommend best practices and innovations.
Required Skills & Experience :
- Hands-on experience with:
a. Microsoft Fabric
b. Azure Databricks
c. Azure Data Factory (ADF)
d. PySpark & Python
e. SQL (T-SQL/PL-SQL)
- Solid understanding of data warehousing, ETL/ELT processes, and big data architectures.
- Knowledge of data governance, security, and compliance within Azure.
- Strong problem-solving, debugging, and performance tuning skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications :
- Experience with Power BI, Delta Lake, and Lakehouse architecture.
- Exposure to DevOps, CI/CD pipelines, and Git-based version control.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1553743
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