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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 PySpark/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.
Experience: 3-7 Years of experience.
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