Description

You will design and implement scalable data and analytics architectures across Azure and Microsoft Fabric ecosystems.

Responsibilities

• Design architecture blueprints, HLDs, and LLDs for scalable data platforms and BI solutions.
• Build and orchestrate end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
• Develop reusable semantic models and Gold layer architectures for BI consumption.
• Implement CI/CD pipelines and monitoring frameworks for data engineering workloads.
• Translate business requirements into technical specifications for end-to-end BI delivery.

Required Skills

• 15+ years of experience in end-to-end BI solution delivery.
• 6+ years of hands-on experience with Azure Data Engineering (ADF, Synapse, Data Lake Storage).
• 4+ years of experience with Databricks, implementing ELT pipelines and notebooks.
• 4+ years of experience in Power BI, including Pro, Premium, and Paginated Reports.
• 1+ year of experience with Microsoft Fabric, specifically OneLake, Lakehouses, and Dataflows Gen2.
• Expertise in DAX, Power Query, and M language for complex analytics logic.
• Proven experience with CI/CD pipelines and Azure-based data engineering.
• Proficiency in Agile/Scrum methodologies using Jira or Azure DevOps.
• Experience leveraging Generative AI tools like GitHub Copilot to accelerate development.

Preferred Skills

• Exposure to Fabric Copilots for data modeling and KPI generation.
• Experience with Row-Level Security (RLS) and incremental refresh in Power BI.

Key Skills

Education

B.Tech, MCA, M.Tech