AWS Data Engineer
INNOVA SOLUTIONS
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Job Description
- Hands on experience in Dimensional, Data vault and relation modelling
- 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
- Hand on experience using AWS services like Glue(Pyspark), Lambda, S3, Athena, RDS, IAM, Lake formation
- Experience on Mulesoft is good to have
- 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.
- Experience in Parallel Loading and Dependencies orchestrations
- 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 Design, Data transfer and Data processing
- 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
- Hand on experience using AWS services like Glue, Lambda, S3, Athena, RDS, IAM, Lake formation
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