Data & AI Engineer – Power BI / Azure

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Location: Mohali / Kochi / Vadodara
Experience: 5+ Years
Website :- www.staffconnect.ae

Job Summary

We are seeking an experienced Data & AI Engineer with strong expertise in Power BI, Azure data technologies, data engineering, and analytics. The role will focus on developing dashboards, building data pipelines, integrating data from ERP and third-party systems, and supporting AI/ML use cases.

Key Responsibilities

  • Develop and maintain intuitive, user-friendly Power BI dashboards and reports.
  • Build Power BI solutions using DAX, Power Query/M, star-schema data modelling, and Row-Level Security (RLS).
  • Manage Power BI workspaces, gateways, deployment pipelines, and version control.
  • Work with Azure data technologies including Azure Data Factory, Synapse/Fabric, and Azure SQL.
  • Develop and maintain ETL/ELT pipelines and data integration processes.
  • Extract and integrate data from ERP and third-party systems into Data Warehouse/Fabric environments.
  • Perform data validation, reconciliation, lineage, and quality management.
  • Support data governance and cataloguing using tools such as Microsoft Purview.
  • Support AI/ML initiatives using Azure OpenAI and Microsoft Fabric AI capabilities.
  • Optimize queries, reports, data models, and overall BI performance.

Required Skills & Qualifications

  • Minimum 5 years of hands-on experience in Data Engineering, BI, or Analytics.
  • Strong hands-on experience with Power BI – mandatory.
  • Strong skills in DAX, Power Query/M, SQL, PL/SQL, and data modelling.
  • Experience with Azure Data Factory, Azure SQL, Synapse and/or Microsoft Fabric.
  • Strong understanding of ETL/ELT and data integration.
  • Experience extracting data from ERP and third-party systems.
  • Knowledge of data governance, data quality, and reconciliation.
  • Exposure to Python/R and AI/ML.
  • Experience with Azure OpenAI and/or Microsoft Fabric AI is an advantage.

Preferred Skills

  • Experience with OBIEE/OAS.
  • OBIEE to Power BI migration experience.
  • Experience with Databricks.
  • Knowledge of Azure AutoML.
  • Experience with Power BI Premium/Fabric capacity management and paginated reports.
  • Microsoft Purview experience.