Fulltime Remote opportunity for Data Engineer (AWS SME) - RLS/CLS Testing & Data Governance

• Posted 16 hours ago • Updated 11 minutes ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AWS
  • DATA ENGINEER
  • RLS/CLS Testing

Summary

Hello,

My name is Sreeja and I represent TestingXperts Inc. TestingXperts is a Specialist QA & Software Testing Company, and an Independent Software Testing division of Damco Group, which is a leading IT Solutions and Services company working with Fortune Enterprises globally. Inheriting the virtues of job quality and optimal user satisfaction from Damco Group, TestingXperts aims at promoting the ethics of connected innovation, thereby seeding the integral values in our employees and achieving unmatched contentment in our clients. To know more about Testingxperts Inc., please visit our website .

If you are interested in the opportunity listed below, please forward your updated resume along with current contact information, or perhaps you can recommend someone who would be interested in this position

Data Engineer (AWS SME) - RLS/CLS Testing & Data Governance

Location: 100% Remote
Workstream: Data Lake

Note: Candidates will be onboarded in person in NJ office and San Jose office of Persistent Systems,

Role Overview

Seeking a Data Engineer with expertise in data governance and security validation within AWS Data Lake environments. The role will focus on validation of access controls, governance policies, and security frameworks built on Iceberg-based platforms.

Key Responsibilities

  • Perform end-to-end testing of RLS and CLS implementations.
  • Validate FGAC policies across datasets and user personas.
  • Develop and execute security and governance test scenarios.
  • Verify access controls implemented through AWS Lake Formation.
  • Validate governance controls in Apache Iceberg environments.
  • Support audit, compliance, and security review activities.
  • Collaborate with engineering teams to resolve governance gaps.
  • Produce validation and readiness reports.

Required Skills

  • 5+ years of Data Engineering experience.
  • Strong Spark / PySpark expertise.
  • Working knowledge of Apache Iceberg internals.
  • Experience with Delta-to-Iceberg migration programs.
  • Experience with AWS Lake Formation.
  • Strong understanding of FGAC principles.
  • Hands-on experience implementing or validating RLS and CLS controls.
  • Strong SQL and data validation skills.
  • Experience with enterprise data governance and security.
  • Familiarity with GDC.

Preferred Skills

  • AWS S3
  • Data quality and testing frameworks
  • Python automation
  • Security compliance validation
  • Enterprise-scale data lake environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10383634
  • Position Id: 2026-35253
  • Posted 16 hours ago
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