AWS Data Engineer
kk global talent solutionsSeattle (WA)
About the role
Role:
: AWS Data EngineerLocation :: Seattle, WA - OnsiteFulltime_Permanent_roleAll Visa workableMin exp 8+ year Job DescriptionMust-have: Hands-on data engineer with strong Python skills and experience building large scale Apache Spark pipelines on AWS. Deep platform fluency across the modern data lake stack, S3, Glue Data Catalog, Athena, EMR, and Redshift, with a focus on reliable ingestion, transformation, and validation at scale. Differentiator: Practical experience designing and testing large scale AWS Lake Formation permission models, including row-level security, column-level filtering, and LF-TBAC (Tag-Based Access Control), plus end-to-end Data Lake architecture and permission-model test design and validation.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this
