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Senior Data Engineer
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- Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks
- Devising solutions to largely-undefined data engineering and data science problems.
- Experience withPython Expertise with Apache Spark (Java, Scala, and/or Python-based)
- Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar)
- Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)
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