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Data Engineer

L5

tenaraiWashington, DCtoday
Must-Have Skills & Experience: Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below. Strong hands-on experience as a Data Engineer. Strong proficiency in Python. Experience building and maintaining large-scale Apache Spark pipelines on AWS. Strong knowledge of the modern AWS Data Lake ecosystem, including: Amazon S3 AWS Glue Data Catalog Amazon Athena Amazon EMR Amazon Redshift Experience designing and implementing reliable data ingestion, transformation, and validation pipelines at scale. Strong understanding of Data Lake architecture and best practices. xaygatp
Differentiator / Preferred Experience:
  • Hands-on experience with
  • AWS Lake Formation permission models. Experience designing and testing: Row-level security
  • Column-level filtering
  • LF-TBAC (Tag-Based Access Control) Experience designing and validating
end-to-end Data Lake permission models. Strong experience in test design, validation, and troubleshooting for large-scale data platforms and access-control models.
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Level

SeniorL5

Location

Washington, DC

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

today

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