Data Engineer Role

3 weeks ago


Golden, Colorado, United States ICF Full time

Role Overview

This role involves designing and implementing scalable and secure data processing pipelines using Azure services. The successful candidate will collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.

Responsibilities

  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services.
  • 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.

Qualifications

  • 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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