
Databricks - de / Sde
5 days ago
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)
- Experience with big data tools like Delta Lake, Databricks
- Experience with Storage, Unity catalog
- Assemble large, complex data sets that meet functional / non-functional business requirements.
**Job Requirement**
- 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)
- Experience with big data tools like Delta Lake, Databricks
- Experience with Storage, Unity catalog
- Assemble large, complex data sets that meet functional / non-functional business requirements.
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