Azure Data Engineering Specialist

1 day ago


Golden, Colorado, United States ICF Full time

Job Summary

We are seeking a highly skilled Azure Data Engineer to join our team. As a key member of our analytical team, you will be responsible for designing and implementing scalable and secure data processing pipelines using Azure services.

About the Role

  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance.
  • Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
  • Implement data security measures, including encryption, access controls, and auditing, to protect sensitive information.
  • Stay up-to-date with the latest Azure features and technologies to enhance data engineering processes and capabilities.
  • Document data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.

What We Offer

  • A competitive salary range of $84,533 - $143,706 per year, depending on experience.
  • The opportunity to work with a global advisory and technology services provider.
  • A collaborative and inclusive work environment.
  • A comprehensive benefits package.

Requirements

  • Bachelor's Degree in IT, Computer Sciences, Information Systems, Business, or related fields.
  • 5+ years of professional database solution development using Azure data services and frameworks.
  • 3+ years of experience in designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
  • 3+ years of experience managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse.
  • 3+ years of experience ensuring data quality and consistency through data cleaning, transformation, and integration processes.
  • 5+ years of experience working within the full lifecycle SDLC as part of a software product and operations team environment.


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