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Databricks metric-layer niche reduces applicants, but mid-level data role in Hyderabad keeps competition moderate.
Requires FMCG/CPG category and market data experience, raising domain specificity and lowering cross-industry fit.
Multiple mandatory Databricks, Azure, SQL/Python, and FMCG domain requirements enforce strict filtering.
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Own building and maintaining the semantic layer and KPI model including Databricks Metric Views for AI-powered executive scorecards and reporting
Design, develop, and manage data integration and transformation pipelines preparing enterprise data for narrative generation and conversational analytics
Collaborate directly with business owners to define and validate KPIs and underlying business logic across multiple markets
4+ years of data engineering experience, ideally with FMCG/CPG retail data (POS, SKU, category, market performance)
Hands-on experience with Databricks Metric Views or equivalent semantic/metric layer tools
Proficiency in SQL and Python for data processing and transformation
Experience with Azure Databricks cloud platform and modern ELT/ETL tooling
Experienced in semantic/KPI modeling and building conformed dimensions across multi-market data architectures
Comfortable collaborating directly with business stakeholders to translate business logic into data models
Familiar with agentic AI or LLM-powered analytics and how data engineering supports these AI capabilities