Expert Data Engineer

1 day ago

Surat, Gujarat, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 25,00,000
Data Engineering Expert

We are seeking an experienced professional to join our data team. The ideal candidate will design, build, and optimize end-to-end data solutions using Microsoft's data platforms.

The selected professional will implement contemporary data architecture patterns, create robust data pipelines, and deliver insight-driven analytics to help clients make informed decisions.

  • 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, and BYOD).
  • 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.
  • Apply DataOps practices, monitoring, and performance tuning.
  • Ensure data security, quality, and governance.
  • Integrate predictive analytics with Azure ML where required.
Requirements

To be successful in this role, you should have:

  • 5–7 years of data engineering experience (minimum 3 years in Microsoft technologies).
  • 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 Qualifications

Nice to have certifications include:

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

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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