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Principal Data Engineer
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- Exceptional background in data engineering, data systems, and data governance and having comfort working with structured and unstructured data and analyses.
- Exposure to data and data types in the Materials science, chemistry, computational chemistry, physics space a definite plus, but not required.
- Proficiency in developing or architecting modern distributed cloud architecture and workloads (AWS, Databricks preferred).
- Solid understanding preferred of advanced Databricks concepts like Delta Lake, MLFlow, Advanced Notebook Features, Custom Libraries and Workflows, Unity Catalog, etc.
- Experience with AWS cloud computing services and infrastructure developing data lakes and data pipelines leveraging multiple technologies such as AWS S3, AWS Glue, Elastic MapReduce, etc.
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