About this opportunity
Tenarai lists this Data Engineer opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Must-Have Skills & Experience:
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.
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
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 . xavwley
Strong experience in test design, validation, and troubleshooting for large-scale data platforms and access-control models.
Worksite address
seattle, WA, 98127, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.