Data Warehouse Analyst Seniors: Cloud Engineering

Fidelity National Information Services

Jacksonville, FL, US
On-site
Cloud-based data warehouse systems
Data extraction, transformation, and loading (etl)
Data modeling
Architect, develop, and sustain comprehensive data warehouse systems and their corresponding data marts using cloud-based solutions

Job Summary

  • Architect, develop, and sustain comprehensive data warehouse systems and their corresponding data marts using cloud-based solutions.
  • Engineer and implement advanced data extraction, transformation, and loading (ETL) processes in a cloud-agnostic platform.
  • Enhance data reliability, efficiency, and quality through continuous process improvements and robust data governance practices in the cloud.

Matching Summary

Architect, develop, and sustain comprehensive data warehouse systems and their corresponding data marts using cloud-based solutions.

Skills & Requirements

Must-have

  • Cloud-based data warehouse systems
  • Data extraction, transformation, and loading (ETL)
  • Data modeling
  • Cloud data warehouse operations
  • Data governance practices
  • Database solutions and models
  • Data security policies and procedures

Nice-to-have

  • Collaboration with data architects and reporting teams
  • Continuous process improvements
  • Adherence to regulatory standards

Key Requirements

  • Bachelor's degree or foreign equivalent
  • Seven (7) years of experience
  • Databricks for data engineering, analytics, and machine learning
  • Unity Catalog for data discovery, classification, and lineage tracking
  • Python scripting with PySpark, Pandas, NumPy, and Scikit-learn
  • BigID for compliance and data governance
  • API platform infrastructure management
  • Security vulnerability analysis with CheckMarx and Blackduck
  • CI/CD tools including Jenkins, Git/Bitbucket, and Harness
  • Containerization Docker/AKS/EKS technologies
  • Azure cloud services

Work Rights

Not specified

Tailored Resume

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