Engineering Business Outcomes

Data Engineer

Posted: 1 month ago

Job Location

Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed

Skills

Python

Amazon S3

Amazon Redshift

Apache Spark

Amazon EMR

Amazon Athena

AWS Glue Data Catalog

AWS Data Lake Ecosystem

About the job

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.

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.