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Job Title : Power BI, Databricks & Microsoft Fabric Engineer
Location : Chennai, India (Onsite / Hybrid as applicable)
Experience : 6–10 years
Role Overview
We are seeking a Power BI, Databricks & Microsoft Fabric Engineer to support, maintain, and enhance enterprise analytics solutions. The role includes managing periodical data loads from source systems (including Excel files), performing data validation and reconciliation, and enhancing Power BI interfaces with new business metrics on a regular cadence (e.g., quarterly feature reviews).
Key Responsibilities
Data Ingestion & Validation
Manage periodic data ingestion from source systems, including Excel files and flat files
Build and maintain automated and semi-automated data load processes using Databricks and/or Microsoft Fabric
Perform data validation, reconciliation, and sanity checks to ensure accuracy and completeness
Identify and resolve data quality issues, working closely with business and upstream teams
Maintain documentation for data mappings, transformations, and validation rules
Power BI Responsibilities
Support and maintain existing Power BI reports and dashboards
Troubleshoot issues related to data refresh failures, performance, and visuals
Enhance dashboards with new KPIs, metrics, and analytical views
Optimize data models, DAX calculations, and report performance
Implement role-based access and security best practices
Databricks Responsibilities
Support and enhance Databricks notebooks supporting analytical datasets
Develop and optimize ETL/ELT pipelines using PySpark and SQL
Ensure scalable, reliable, and performant data processing
Monitor and optimize jobs for performance and cost
Microsoft Fabric (Azure Fabric) Responsibilities
Work with Microsoft Fabric components such as Lakehouse, Data Engineering, Data Factory, and Power BI in Fabric
Design and implement end-to-end data and analytics solutions using Fabric
Integrate or migrate workloads from Databricks / traditional Power BI into Microsoft Fabric
Utilize OneLake for centralized storage, governance, and analytics
Required Skills & Qualifications
Mandatory Skills
Strong hands-on experience with Power BI (Reports, Dashboards, DAX, Power Query, Data Modeling)
Strong working knowledge of Databricks
Hands-on experience with Microsoft Fabric (Azure Fabric)
Proficiency in SQL and PySpark
Experience handling periodic data loads from Excel / flat-file sources
Strong understanding of data validation, reconciliation, and data quality frameworks
Solid knowledge of data warehousing and BI architecture
Good to Have
Experience with Azure Synapse, Azure Data Factory, or ADLS
Knowledge of scheduling, monitoring, and alerting for data pipelines
Exposure to Agile / Scrum delivery models
Job ID: 143024745
Skills:
Github, Power Bi, Power Query, Azure Sql, Dax, Azure DevOps, Semantic Models, Jira telemetry, Direct Lake, Lakehouse, Star schema data modeling, Microsoft Fabric
Skills:
Power Automate, Dax, Power Query, ETL techniques and data engineering principles, Power BI Desktop and Service, Power BI Dataflows, AWS database connectivity, Power BI Admin portal and workspace management, Power Apps
Skills:
Azure Data Factory, Power Bi, Databricks, Etl, Data Modeling, Figma
Skills:
Dax, Power Automate, Power Query, Power Apps, ETL techniques and data engineering principles, Power BI Desktop and Service, Power BI Dataflows, Performance Analyzer, QA tools such as DAX Studio, Tabular Editor, AWS database connectivity, Power BI Admin portal and workspace management
Skills:
Power Bi, Sql, Python, Data Visualization, ETL Processes, Alteryx Macros
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