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Senior, niche Databricks role at a known financial firm in a metro results in moderate competition.
Core Databricks and cloud data-engineering skills transfer across industries, though financial compliance adds some specificity.
Multiple mandatory Databricks, cloud, languages and governance requirements plus financial compliance increase strictness.
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Own end-to-end Data Engineering implementation at large scale using Databricks platform, including Notebooks, Clusters, Jobs, and Delta Lake.
Manage Unity Catalog with RBAC configuration for secure data access and governance.
Develop, debug, and optimize data processing workflows using Scala, Python, PySpark, SQL along with cloud services on Azure with CI/CD pipelines using Azure DevOps.
Expertise in Databricks Platform (Notebooks, Clusters, Jobs, Delta Lake) and Unity Catalog with RBAC configuration.
Hands-on experience with Azure Cloud services including Azure Data Factory, Blob Storage, and Azure Databricks.
Programming and data processing skills using Scala, Python, PySpark, and SQL.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing large scale data engineering on cloud platforms with demonstrated proficiency in Databricks and Azure services.
Operates effectively with secure coding practices and data governance compliance in a financial services context.
Skilled at implementing CI/CD pipelines and optimizing Apache Spark based data workflows.