Data Engineer - AWS and Databricks
Full Time
Senior Level
12+ years
Posted 3 weeks ago
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Upload Your ResumeAbout 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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