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Senior Data Engineer
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- The ideal candidate is an experienced Data Engineer with background in ETL or ELT processing with SQL/NoSQL databases, a background in transforming existing tech to new open source technologies (ideally Postgres) as well as a strong development background in Spark, Scala, Java and/or Python.
- Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
- Experience working streaming applications (Spark Streaming, Flink, Kafka or equivalent)
- Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks
- Experience with container orchestration services including Docker and Kubernetes
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