Data Engineer - AWS and Databricks

Full Time Senior Level 12+ years

Posted 3 weeks ago

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About This Role

This role is for a highly experienced Data Engineer with a strong background in AWS and Databricks, focusing on designing and implementing robust data security measures.

Responsibilities

  • Assess current data access policies, security protocols, and data classification procedures
  • Create detailed design of data access control mechanisms within Databricks using appropriate features
  • Collaborate with the Platform Architect to ensure alignment between data security controls and the overall UAM architecture
  • Document the design and implementation of data access control within Databricks

Requirements

  • Min. 12+ years of experience working in Data Engineering Field
  • Strong understanding of data security principles and best practices
  • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms
  • Experience with Cloud AWS and AWS Services
  • Strong coding skills in Python or Scala
  • Excellent analytical, problem-solving, and communication skills

Qualifications

  • Min. 12+ years of experience working in Data Engineering Field

Skills

Python * AWS * Databricks * Scala * Unity Catalog *

* Required skills

About Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm, a trusted partner for Fortune 100 companies in generating business value from data, specializing in Data Science, Machine Learning, and AI.

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