Back
Tier-1 brand, metro Bangalore location, and a commonly sought Data Engineer title increase competition.
Core data engineering skills transfer across industries, though financial governance and Databricks specialization increase specificity.
Mandatory Databricks, Unity Catalog, Azure/AWS and core programming stack enforce strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead large-scale data engineering projects leveraging Databricks platform expertise including notebooks, clusters, jobs, and Delta Lake.
Manage implementation of Unity Catalog and RBAC for data governance and compliance.
Optimize and debug PySpark/SQL code, and handle CI/CD pipelines using Azure DevOps in cloud environments (Azure and AWS).
Proven experience in data engineering with strong skills in Databricks platform (Notebooks, Clusters, Jobs, Delta Lake) and Unity Catalog with RBAC configuration.
Hands-on expertise in Azure Cloud services including Azure Data Factory, Blob Storage, and Azure Databricks along with CI/CD using Azure DevOps.
Programming proficiency in Scala, Python, PySpark, and SQL with ability to apply Spark optimization techniques.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in both Azure and AWS cloud environments, with real-world problem solving and performance tuning on Databricks.
Ability to communicate and articulate complex technical concepts effectively.
Experience with secure coding, data governance, and compliance in large-scale data platforms.