Chief Data Solution Architect

2 days ago

Vadodara, Gujarat, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Design and Deliver Data Solutions

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As a skilled data engineer, you will design, build, and optimize end-to-end data solutions using Microsoft's cutting-edge technology stack.

">Data Engineering & Architecture
  • Implement scalable data models for processing, endpoint integration, and BYOD scenarios.
  • Develop real-time, batch, and hybrid data pipelines that meet business needs.
  • Optimize data flow using ADF, Microsoft Fabric, Synapse, and Databricks.
Data Modeling & Analytics
  • Create semantic and dimensional models in Power BI to drive business insights.
  • Build enterprise dashboards, paginated reports, and self-service analytics solutions that cater to diverse user groups.
  • Implement row-level security, complex DAX measures, and model optimizations for robust data analysis.
Platform Operations & Governance
  • Apply DataOps best practices, monitoring, and performance tuning to ensure optimal data pipeline performance.
  • Ensure data security, quality, and governance through integrated solutions that align with business objectives.
  • Integrate predictive analytics with Azure ML where required to drive business growth.
Requirements
  • 5–7 years of experience in data engineering with 3+ years in Microsoft technologies.
  • Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, and Power BI.
  • Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, and Power Query (M).
  • Experience with event-driven streaming (Event Hubs/Kafka) and batch processing to handle diverse data workloads.
  • Proven track record in implementing medallion architecture and enterprise BI solutions that deliver business value.

Why You'll Thrive in This Role

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This is an excellent opportunity for you to join a dynamic team of data experts and leverage your skills to drive business success.

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As a key member of our team, you will have the chance to collaborate with cross-functional teams, innovate, and grow your career in the field of data engineering.

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