Role Summary

We are hiring a Reporting Engineer to join our Business Intelligence & Reporting team and help build, maintain, and scale the reporting and analytics layer of the AtlasFive platform. This is a hands-on role focused on Power BI report development, Microsoft Fabric-based data pipelines, and SQL Server-backed data models, all running on Azure infrastructure. The ideal candidate is comfortable working across the reporting stack — from writing effective SQL and Python to building performant Power BI datasets and Fabric pipelines — and is diligent about data accuracy, performance, and documentation.

Key Responsibilities

Power BI & Reporting Development

- Design, build, and maintain Power BI reports, dashboards, and data models to support business and client reporting needs
- Develop and optimize Power BI datasets, dataflows, and semantic models (DAX) for performance and scalability
- Implement row-level security (RLS) and access controls in Power BI reports
- Manage Power BI Service — workspaces, gateways, refresh schedules, and capacity allocation
- Collaborate with business stakeholders to translate reporting requirements into effective visualizations

Microsoft Fabric & Data Engineering

- Build and maintain data pipelines, dataflows, and lakehouse artifacts within Microsoft Fabric
- Develop notebooks and pipelines using Python (and PySpark where applicable) for data transformation and processing
- Support Fabric capacity monitoring, workspace management, and performance tuning
- Integrate Fabric-based datasets with the Power BI reporting layer

SQL & Data Management

- Write and optimize complex SQL queries, stored procedures,



and views in SQL Server to support reporting datasets
- Design and maintain data models (star schema / dimensional modeling) for reporting and analytics
- Perform data validation, reconciliation, and troubleshooting of data quality issues across reporting pipelines
- Support ETL/ELT processes feeding Power BI and Fabric from SQL Server and Azure data sources

Azure & Cloud Reporting Infrastructure

- Work with Azure services (Azure SQL, Storage, Data Factory / Synapse, Key Vault) supporting the reporting environment
- Monitor and troubleshoot Azure-hosted data pipelines and reporting infrastructure for performance and reliability
- Support cost and capacity tracking for Power BI Premium / Fabric capacity and related Azure resources
- Use KQL to query and analyze logs in Azure Monitor / Log Analytics for pipeline and platform troubleshooting

Automation & Scripting

- Write scripts in Python (and PowerShell where applicable) to automate data refresh, validation, and reporting workflows
- Automate recurring reporting tasks and alerts to reduce manual effort
- Contribute to documentation of reporting pipelines, data dictionaries, and report catalogs

Collaboration & Support

- Partner with Engineering, DevOps,



and Business teams to understand reporting requirements and data sources
- Provide L2/L3 support for reporting issues, dashboard errors, and data refresh failures
- Participate in review and QA of new reports and dashboards before release
- Document report specifications, data lineage, and change history

Required Experience & Skills

Core Requirements

- 3 – 4 years of hands-on experience in BI/reporting engineering, data analytics, or related roles
- Strong hands-on experience with Power BI reporting — report/dashboard development, data modeling, DAX
- Experience with Microsoft Fabric (Lakehouse, Dataflows, Pipelines, Notebooks)
- Proficiency in Python for data processing and automation
- Strong SQL Server skills — writing and optimizing queries, stored procedures, and data models
- Working knowledge of Azure services supporting data and reporting workloads

Technical Skills

- Reporting: Power BI (Desktop & Service) — data modeling, DAX, RLS, workspace/gateway management
- Data Platform: Microsoft Fabric — Lakehouse, Dataflows Gen2, Data Pipelines, Notebooks
- Programming: Python (mandatory)
- Database: SQL Server — T-SQL, stored procedures, performance tuning
- Cloud: Azure — Azure SQL, Storage, Data Factory / Synapse, Key Vault, Monitor

Nice to Have

- PowerShell scripting for automation
- PySpark for large-scale data processing in Fabric / Spark notebooks
- KQL (Kusto Query Language) for querying Azure Monitor / Log Analytics
- Experience in fintech, wealth management, or regulated financial services environments
- Exposure to Power BI Premium capacity management and cost optimization

📌 Reporting Engineer - Power BI, Microsoft Fabric & Azure Analytics (Bengaluru)
🏢 Eton Solutions
📍 Bengaluru