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Position - Senior Azure Databricks Engineer
Skill Set - Azure, Databricks
Experience - 10-15 years
Location - Bangalore
Notice Period - 0-30 days
Job Descriptions :
Design, develop, and optimize scalable batch and streaming data pipelines using Azure Databricks.
Develop data processing frameworks using PySpark and Spark SQL.
Implement Delta Lake-based storage solutions to ensure high reliability and data consistency.
Build and maintain Bronze, Silver, and Gold data layers within a Lakehouse architecture.
Ingest data from APIs, databases, Azure storage, and streaming platforms.
Develop scalable data models supporting analytics and reporting requirements.
Implement data quality, validation, and reconciliation processes.
Monitor and optimize Spark workloads for performance and cost efficiency.
Establish and support data governance practices through Unity Catalog and related solutions.
Orchestrate and integrate data workflows using Azure Data Factory, Airflow, and Databricks Workflows.
Collaborate with business and technical stakeholders to gather requirements and deliver enterprise-grade data solutions.
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