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Senior, specialized Azure Databricks focus reduces qualified applicant density.
Azure-specific tooling moderately limits portability, though core data engineering skills remain transferable.
Mandatory Azure Databricks, ADF, ADLS and PySpark skills create moderate shortlisting filters.
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Design and build scalable data pipelines using Azure Databricks.
Lead and mentor the data engineering team to deliver data projects successfully.
Optimize ETL/ELT processes ensuring performance, scalability, and reliability of data solutions.
Strong experience with Azure Databricks, Azure Data Factory (ADF), ADLS, and Azure SQL.
Hands-on knowledge of PySpark, Spark, and SQL for data processing.
Experience in data warehousing and ETL/ELT processes.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading data engineering teams and mentoring junior members.
Skilled in collaborating with cross-functional teams and aligning data solutions with business requirements.
Operationally savvy with strong focus on optimizing data workflows and maintaining best practices in code quality.