Job Description

Immediate Joiner
Hybrid Mode
Location:-Pan India
Experience:-6 to 11 years
6–8 years of hands-on experience in Power BI development and data modelling roles — with production delivery.
Deep, demonstrable capability across DAX, data modelling, SQL, Power Query, visualisation design, performance optimisation, and incremental refresh as described above.
Proven track record of building net-new reports and semantic models on demand — not just maintaining existing ones.
Hands-on experience with at least two of the three Power Platform extensions: AI visuals / Azure AI integration in Power BI, Power Automate flows connected to BI data or agentic orchestration, Power Apps with writeback or embedding.
Working knowledge of Copilot Studio or equivalent conversational AI tooling — ability to build, govern, and deploy a data-grounded agent.
End-to-end ownership experience — requirements through deployment, including RLS, refresh governance, and post-go-live monitoring.
Strong Plus (near-mandatory): understanding of ETRM concepts — trade lifecycle, EOD batches, positions, exposures, P&L — or equivalent depth in financial services, risk, or regulated industry data platforms.
At least 70% of overall experience must come from this exact stack — Power BI, DAX, SQL, Power Query, Power Platform, AI integration, and BI governance. Candidates carrying broad but shallow experience across unrelated tools will not fit.
Available for incident ownership and on-call support during critical reporting windows — month-end, EOD batch close.

Good to Have

Microsoft Fabric — Direct Lake mode, Lakehouse, Dataflow Gen2, OneLake, and Copilot for Power BI.
Azure OpenAI Service — prompt engineering, Retrieval Augmented Generation (RAG) grounded on internal data dictionaries or report documentation.
Tabular Editor or ALM Toolkit for semantic model scripting, deployment automation.
Power BI REST API for post-deploy automation, dataset management, and governance reporting.
Python for upstream data preparation, AI model integration, or automation scripts feeding the BI layer.
Power Virtual Agents / Copilot Studio — advanced agent orchestration, multi-turn conversation design, and handoff to human workflows.
Prior experience in commodity trading, energy, risk, or financial services data platforms — understanding of P&L, exposure, position, and settlement data structures.
Experience setting up monitoring, alerting, and reconciliation frameworks around dataset refresh, pipeline runs, and automated flow health.
Azure Data Factory or Airflow DAGs— awareness of upstream orchestration feeding the Power BI layer.