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Strong in Pyspark, Python, PLSQL, SQL Desirable to have ETL with batch and streaming (Kinesis). Build the solution for optimal extraction, transformation, and loading of data from a wide variety of data sources using data ingestion and transformation components. The following technology skills are required Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience with Dataflow Hands-on experience in using Databricks Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services and Google Cloud) Experience with column-oriented database technologies (e.g., Big Query, Redshift, Vertica), NoSQL database technologies (e.g., DynamoDB, BigTable, Cosmos DB, etc.), and traditional database systems (e.g., SQL Server, Oracle, MySQL)
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