Job Description:
-
Design develop and maintain scalable batch data pipelines using Apache Spark on Azure Databricks
-
Work on Spark repositories to implement new features and enhancements
-
Perform version control activities using Git (branching merging pull requests)
-
Build Spark executable JARs using Maven and manage dependencies
-
Execute and validate Spark jobs using Spark Submit with custom runtime arguments
-
Configure and monitor Databricks Workflows Jobs and Pipelines
-
Implement and manage Delta Lake components (Delta Tables Delta Live Tables)
-
Work with Hive Metastore and Unity Catalog for governance and metadata management
-
Optimize Spark jobs for performance and cost efficiency
-
Troubleshoot failures and resolve performance bottlenecks
-
Collaborate with cross-functional teams to translate business requirements into technical solutions
Job Description: Design develop and maintain scalable batch data pipelines using Apache Spark on Azure Databricks Work on Spark repositories to implement new features and enhancements Perform version control activities using Git (branching merging pull requests) Build Spark executable JA...
Job Description:
-
Design develop and maintain scalable batch data pipelines using Apache Spark on Azure Databricks
-
Work on Spark repositories to implement new features and enhancements
-
Perform version control activities using Git (branching merging pull requests)
-
Build Spark executable JARs using Maven and manage dependencies
-
Execute and validate Spark jobs using Spark Submit with custom runtime arguments
-
Configure and monitor Databricks Workflows Jobs and Pipelines
-
Implement and manage Delta Lake components (Delta Tables Delta Live Tables)
-
Work with Hive Metastore and Unity Catalog for governance and metadata management
-
Optimize Spark jobs for performance and cost efficiency
-
Troubleshoot failures and resolve performance bottlenecks
-
Collaborate with cross-functional teams to translate business requirements into technical solutions
View more
View less