
Microsoft Data Platforms Expert
5 days ago
Job Summary:
High-Performance Data Solutions Specialist required to design and build end-to-end data pipelines using Microsoft's data platforms.
Key Responsibilities:
- Design and implement scalable data solutions using ADF, Synapse, Databricks.
- Develop and optimize real-time, batch, and BYOD data pipelines.
- Create semantic models and dimensional models in Power BI for business intelligence and analytics.
Data Engineering & Architecture:
- Build robust data models for efficient data processing, integration, and endpoint processing.
- Develop complex DAX measures, implement row-level security, and model optimizations.
Platform Operations & Governance:
- Apply DataOps practices, monitor performance, and ensure data quality and governance.
- Integrate predictive analytics with Azure ML where required.
Qualifications:
- 5–7 years of experience in data engineering (minimum 3 years in Microsoft technologies).
- Strong expertise in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
- Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
- Bachelor's degree in computer science, Data Science, Engineering or related field (master's preferred).
Benefits:
As a High-Performance Data Solutions Specialist, you will work on cutting-edge Microsoft data projects, collaborate with global teams, and contribute to solutions that shape the future of data-driven business decisions. We value innovation, collaboration, and continuous learning.
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