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Generalist title, mid-level (3–6 yrs) requirement, and Bengaluru metro increase competition.
Core Databricks and data-engineering skills are transferable across industries, so background sensitivity is low.
Multiple mandatory skills (Databricks, Metric Views, SQL, Python/Java) and explicit years make filtering strict.
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Design, build, and maintain semantic data models using Databricks Metric Views ensuring metric consistency and governance.
Translate business requirements into technical specifications; develop optimized SQL queries and data transformation pipelines in Python/Java.
Operate within an AI-first agentic coding environment, managing code correctness, security, and performance while continuously improving development workflows.
3 to 6 years of professional software/data engineering experience.
Hands-on experience with Databricks including Metric Views, Unity Catalog, Delta Lake, and Lakehouse architecture.
Strong proficiency in SQL with query optimization and performance tuning skills; working proficiency in Java and/or Python.
Location requirement: On-site at Bengaluru, Karnataka.
Experienced in semantic/metric layers and data modeling concepts like star schema and slowly changing dimensions for consistent reporting.
Skilled in translating complex business KPIs into reusable, governed data models and pipelines in a cross-functional team setting.
Comfortable and effective operating in AI-driven development environments using agentic coding tools for day-to-day coding and code review.