Location: Mohali/Pune | Full-Time | 2–4 Years Experience
About the Role
We are looking for a Power BI Developer cum Data Engineer who can work across reporting and data preparation. The ideal candidate should be strong in Power BI, have working knowledge of Python, and understand data pipeline concepts in Azure.
Exposure to AI features in Power BI and Bronze–Silver–Gold data architecture will be an added advantage. You’ll be responsible for designing, integrating, and optimizing enterprise-level data and analytics solutions that empower decision-making and business automation.
Key Responsibilities
Power BI Development
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Design, develop, and maintain interactive dashboards and reports using Power BI, to deliver actionable insights.
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Build and customize Power Apps and Power Automate workflows to digitize and streamline business operations.
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Use Power Query (M) for data cleaning and transformations.
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Collaborate with business users to gather requirements, define KPIs, and translate them into technical deliverables.
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Ensure data quality, governance, and security compliance across all analytics platforms.
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Monitor, troubleshoot, and optimize data flows, refresh schedules, and query performance.
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Contribute to the data visualization strategy by evaluating and implementing the right tools for each use case.
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Implement row-level security, data model optimization, and incremental refresh.
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Use Power BI AI visuals like key influencers, anomaly detection, Q&A, etc.
Data Engineering Responsibilities
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Work on ETL/ELT pipelines using Azure Data Factory or basic Databricks/PySpark.
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Develop robust ETL/ELT pipelines leveraging Azure Data Factory, Databricks, and Airflow.
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Implement and maintain data lakes, warehouses, and semantic models within Azure environments.
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Write Python scripts for data cleaning, file processing, basic automation, or API ingestion.
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Understand and support Bronze–Silver–Gold stages of the data pipeline.
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Handle structured/unstructured data from different sources.
General Responsibilities & Preferred Skills
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Collaborate with business teams on KPIs and reporting needs.
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Ensure data quality, documentation, and timely refresh of datasets.
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Support performance troubleshooting of reports and pipelines.
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Familiarity with Azure DevOps, Git, and CI/CD pipelines for data and analytics solutions.
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Understanding of API integrations, REST services, and custom connector development.
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Experience with AI Builder, Copilot Studio, in Power Platform or Azure.
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Relevant Microsoft or data engineering certifications (PL-300, PL-400, DP-203, or equivalent).
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Knowledge of data visualization best practices and storytelling techniques.
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2–4 years of experience in Power BI development (DAX, data modeling, Power Query)
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Working knowledge of Python (Pandas basics, data processing scripts)
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Basic understanding of Azure Data Factory, Azure Data Lake, or Databricks
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Strong SQL skills for querying and transformations
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Understanding of Bronze–Silver–Gold data architecture
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Good analytical and communication skills
Required Qualifications
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Bachelor’s degree, Information Systems, Engineering, or related field.
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3+ years of experience in data visualization and business intelligence using Power BI (DAX, Power Query, Data Modeling).
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Knowledge of Power Apps, Power Automate, and the Power Platform ecosystem.
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Familiarity with Dynamics 365 and Microsoft Business Central data structures, APIs, and integration points.
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Proficiency in SQL and data modeling for analytics and reporting.
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Solid understanding of data warehousing concepts, ETL design, and data pipeline optimization.
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Strong analytical mindset and ability to translate business problems into data-driven solutions.
Good to Have (Optional)
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Familiarity with Power BI AI visuals and Copilot features
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Experience with APIs/JSON handling
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Knowledge of Git/Azure DevOps
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PL-300 or DP-900/203 certification
