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 S3AWS Glue Data CatalogAmazon AthenaAmazon EMRAmazon RedshiftExperience 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 securityColumn-level filteringLF-TBAC (Tag-Based Access Control)Experience designing and validating end-to-end Data Lake permission models. xzbcwsv Strong experience in test design, validation, and troubleshooting for large-scale data platforms and access-control models.