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Well-known global brand, mid-level generalist data role, metro location create high applicant competition.
Core Python, SQL, and cloud data skills transfer across industries, so low background sensitivity.
Mandatory Databricks, Azure and 3+ years requirement creates high shortlisting strictness.
Design, build, test, and maintain scalable data pipelines and data warehousing solutions using Databricks on Microsoft Azure.
Implement secure data platforms following data governance and architectural best practices, including automation and integration.
Support cross-functional teams and handle data migrations between legacy and modern platforms with focus on performance and scalability.
3+ years experience designing and building scalable distributed data pipelines and dimensional data models.
3+ years experience in Python and SQL, with mandatory experience using Databricks platform and PySpark.
Extensive experience with Microsoft Azure data services including Data Factory, ADLS gen2, Event Hubs, Azure SQL, and Azure Key Vault.
Work Experience Required: 3+ years relevant data engineering experience. Notice Period: Not explicitly mentioned in the JD.
Experienced hands-on technologist with a strong background in Databricks and Microsoft Azure data services.
Familiarity with CI/CD, Agile practices, unit & integration testing, preferably using Azure DevOps.
Comfortable working in collaborative, team-based environments with a focus on scalable enterprise data solutions.