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Tier-1 brand, metro location, mid-level data engineer role with popular title and broad applicant pool.
Azure Databricks, DP-203 and PySpark focus makes industry transferability limited.
Mandatory 4-8 years and required DP-203 and Databricks certifications increase screening strictness.
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Design and develop data infrastructure and pipelines using Azure Data Factory, Databricks, Azure Fabric, Synapse, and Python/PySpark.
Implement data transformation solutions and troubleshoot complex data engineering issues with source control and CI/CD tools like GITHUB and Azure DevOps.
Ensure data solutions are certified and optimized to provide actionable business insights for clients.
4-8 years total experience with at least 3 years relevant in data engineering and analytics.
Mandatory certifications: DP-203 (Azure Data Engineer Associate) and Databricks Certified Data Engineer Professional (Architect/Managerial level).
Expertise in Azure Data Factory, Azure Databricks, Azure Fabric, SQLDB with complex stored procedures, Python scripting, and PySpark scripting.
Bachelor’s degree in Engineering or Technology (B.Tech, M.Tech, M.E, MCA, B.E).
Experienced in enterprise data engineering environments leveraging Azure cloud services and Databricks.
Proven ability to write complex PySpark queries, debug, and optimize data pipelines within Agile and DevOps frameworks.
Skilled in source control (GITHUB, Azure DevOps) and continuous build/release pipeline implementation for scalable data solutions.