Chief Data Strategist

3 days ago

Mysore, Karnataka, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000
Unlock Data Excellence

We are seeking an accomplished data specialist to contribute to our cutting-edge data solutions. This role involves designing, developing, and optimizing end-to-end data platforms using Microsoft technologies.

  • Key Responsibilities:
  • Design and implement scalable data solutions using Azure Synapse Analytics, Databricks, and ADF.
  • Develop data models for real-time and batch processing, integrating various data sources.
  • Optimize data pipelines, ensuring seamless integration with enterprise systems.
  • Data Modeling & Analytics:
  • Create semantic and dimensional models in Power BI, enhancing business decision-making.
  • Build comprehensive dashboards, paginated reports, and self-service analytics solutions.
  • Implement row-level security, complex DAX measures, and model optimizations.
  • Platform Operations & Governance:
  • Apply DataOps principles, monitoring, and performance tuning to ensure data integrity.
  • Ensure data quality, security, and governance, adhering to industry standards.
  • Integrate predictive analytics with Azure Machine Learning for enhanced insights.

Required Skills & Experience:

  • 5–7 years of experience in data engineering (minimum 3 years in Microsoft technologies).
  • Strong expertise in Azure Synapse Analytics, Databricks, Power BI, and ADF.
  • Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, and Power Query (M).
  • Experience with real-time streaming and batch processing, leveraging event-driven architecture.
  • Proven track record in implementing enterprise data solutions and BI applications.

Preferred Certifications:

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

Why Join Us:

You will collaborate with global teams, contribute to innovative data projects, and shape the future of data-driven business decisions.

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