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Databricks specialization narrows pool but data engineering roles remain popular at mid-tier IT firms.
Medium — Databricks and Azure skills transferable but platform-specific experience increases domain sensitivity.
Medium — strong mandatory Databricks, Delta Lake, Spark and Azure expertise required but no explicit years stated.
Design, build, and optimize scalable data platforms and pipelines using Databricks and Azure.
Leverage expertise in Databricks, Delta Lake, Spark, and Azure cloud services to enable data-driven decision-making across the organization.
Drive improvements in data engineering practices and platform performance.
Strong hands-on experience with Databricks, Delta Lake, Spark, and Azure cloud services.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned: mandatory degree requirements, notice period, or specific domain experience.
Not explicitly mentioned: location requirements or regulatory constraints.
Deep practical expertise operating in modern cloud-based data engineering environments, especially using Databricks and Azure.
Experience with scalable, production-grade data pipelines and platforms that impact organizational decision-making.
Senior-level experience indicated by role title and technical ownership expected.