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Strong employer brand, common data skillset, and metro location increase candidate competition.
Core Azure/Databricks/PySpark data engineering skills are broadly transferable across industries.
Specific Azure, Databricks and PySpark mandatory skills increase screening rigor despite no explicit years requirement.
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Collaborate across teams to maintain and enhance data control environments to reduce operational risk and support business outcomes.
Build and operationalize data solutions using Azure cloud services including Azure Data Factory, Data Flows, Databricks, Data Lake Gen 2, and Azure SQL.
Lead migration of on-premise data warehouses to Azure cloud platforms and design/implement data ingestion and transformation pipelines using ADF and Databricks.
Experience working with Azure cloud data services such as Azure Data Factory, Databricks, Azure Data Lake Gen 2, and Azure SQL.
Proficiency in PySpark and experience in relational and dimensional modeling including big data technologies.
Experience migrating on-premise data warehouses to Azure cloud platform.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities indicating strong cloud security knowledge.
Comfortable working in offshore development teams and cross-functional collaboration, with skills in stakeholder management and process adherence.
Skilled in capacity planning and performance tuning of Azure Data Factory and Databricks pipelines to optimize data operations.