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Senior Data Engineer
Job description
Senior Data Engineer – Python / AWS / Modern Data Platforms Key Responsibilities Build scalable data pipelines using Python and Spark/PySpark. Develop, debug, test, and optimize production data solutions. Work with Databricks, Snowflake, and modern data platforms. Build and deploy solutions on AWS. Apply strong software engineering and coding practices.
Required Skills
~5 years of hands-on Data Engineering experience. Strong Python-first programming and debugging skills. Hands-on Spark/PySpark experience. Experience with AWS and Databricks/Snowflake. Production experience building and supporting data pipelines. Good to Have Financial Services domain experience. Dagster or other data orchestration platforms.
Cloud-native data engineering experience.
Description copied from Ness Digital Engineering's careers page. Read the full posting before you apply.
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