Data Engineer

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.