ROLE PURPOSE

Own the full data lifecycle: from building scalable data
lakes/warehouse/mart/houses to delivering intuitive, interactive dashboards. You
will spend half your time engineering data pipelines in Databricks—integrating
enterprise sources like SAP and MES—and the other half developing
high-performance Power BI semantic models and user-facing reports. The ideal
candidate blends back-end data orchestration with front-end analytical
storytelling.

KEY RESPONSIBILITIES

1. Data Platform

* Build scalable data pipelines (ETL/ELT) to ingest, process, and clean
structured and unstructured data using Databricks.
* Extract, blend, and harmonize complex data streams from multiple systems
including such as SAP & MES.
* Implement robust data governance, access controls, and optimizations to
ensure data integrity and query performance.
* Ensure cost of the data platforms is within budget

2. Enterprise Business Intelligence

* Define the metrics, KPIs, and visual layout for Power BI dashboards across
Sales, Planning, Production, Sourcing, Quality, Logistics, Finance,




engineering etc.
* Author complex, time-intelligent, and context-aware DAX calculations to
compute functional KPIs, targets, and trend metrics.
* Establish clean, well-documented semantic layers and workspaces to support
power users in building their own ad-hoc visualizations.
* Implement energetic Row-Level Security (RLS) and Object-Level Security (OLS)
frameworks across Databricks and Power BI.
* Build all review dashboards in Power BI
* Establish a self-service BI model, training functional power-users on data
literacy and report consumption.

3. Stakeholder Management

* Work with functional team members to identify their needs, conceptualize the
UI that best meets their needs, take alignment from the team members and
support in driving adoption.

CANDIDATE PROFILE

Education

* Bachelor’s or Master’s degree from Tier-1/2 institute (IIT / NIT / BITS or
equivalent)

Experience

* 3–5 years of experience

📌 BI Developer (India)
🏢 Kimbal
📍 India