Expert Data Architectural Designer

4 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 25,00,000
Data Engineering Opportunities

We are seeking a skilled Data Engineer to design, build, and optimize end-to-end data solutions using Microsoft's data platforms.

The ideal candidate will have strong expertise in designing scalable data processing systems, building data models for real-time and batch data processing, and developing and optimizing data pipelines. Experience with real-time streaming and batch processing is also required.

Key Responsibilities

Data Solutions & Architecture
  • Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.
  • Build data models for scalable data processing, endpoint processing, and integration.
  • Develop and optimize data pipelines (real-time, batch).
Data Modeling & Analytics
  • Create semantic models and dimensional models in Power BI.
  • Build enterprise dashboards, paginated reports, and self-service analytics solutions.
  • Implement row-level security, complex DAX measures, and model optimizations.
Platform Operations & Governance
  • Apply DataOps practices, monitoring, and performance tuning.
  • Ensure data security, quality, and governance.
  • Integrate predictive analytics with Azure ML where required.

Required Skills & Qualifications

  • 5–7 years of data engineering experience.
  • Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
  • Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
  • Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
  • Proven track record in implementing medallion architecture and enterprise BI solutions.

Preferred Certifications

  • Microsoft Certified: Azure Data Engineer Associate / Fabric Analytics Engineer Associate / Power BI Data Analyst Associate
  • Databricks Certified Data Engineer Associate

Why Work With Us?

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.

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