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AWS – Databricks - Senior : Job Description

• Expertise in Data warehousing and ETL Design and implementation
• Hands on experience with Programming language like Python/Scala
• Good understanding of Spark architecture along with internals 
• Expert in working with Databricks on AWS
• Hands on experience using AWS services like Glue(Pyspark), Lambda, S3, Athena, RDS, IAM, Lake formation
• Hands on experience on implementing different loading strategies like SCD1 and SCD2, Table/ partition refresh, insert update, Swap Partitions,
• Experience in consuming and writing data from and to Flat files, RDMBS systems, MPPS, JSON and XML, Service, Streams, queues, CDC etc. Awareness of scheduling and orchestration tools
• Awareness of OS Compute, Networking, internal working and architecture of DB and ETL Server and its impact on ETL 
• Experience on RDBMS systems and concepts
• Expertise in writing and complex SQL queries and developing Database components including creating views, stored procedures, triggers etc.
• Create test cases and perform unit testing of ETL Jobs
• Analytical mind with a problem-solving and debugging skills.
• Excellent Communication Skills
• Awareness of Replication, Synchronization and Disaster Management techniques
• Hand on experience in Data Quality Management
• Awareness of data governance concepts and implementation
   

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