Data Engineer

3 days ago


Wisconsin Rapids, United States C4 Technical Services Full time
Data Engineer
Key Responsibilities:
  • Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem.
  • Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes for structured and unstructured data.
  • Apply best practices in dimensional modeling to create robust and scalable data models for analytics and reporting.
  • Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes.
  • Optimize data storage and retrieval mechanisms to support high-performance analytics workloads.
  • Implement and manage hybrid analytics workloads using Azure Cloud infrastructure, including networking and security configurations.
  • Monitor and troubleshoot data pipelines and workflows to ensure accuracy, reliability, and performance.
  • Collaborate with analytics and BI teams to ensure seamless integration of data assets into Power BI and other reporting platforms.
  • Stay informed about emerging trends and technologies in data engineering and cloud analytics to enhance solution delivery.
Required Qualifications:
  • Proven experience in data engineering with expertise in the Microsoft Analytics stack (Fabric, Synapse, SQL, SSAS, SSRS).
  • Strong proficiency in SQL, Python, and data modeling techniques.
  • Working knowledge of data extraction patterns and best practices.
  • Experience with ETL tools and frameworks, such as dbt.
  • Solid understanding of dimensional modeling and its application in analytics.
  • Strong problem-solving skills with a focus on delivering scalable and efficient solutions.
  • Excellent communication and collaboration skills, with experience in client-facing roles.
Preferred Qualifications:
  • Experience with Azure Cloud infrastructure, including hybrid analytics workload configurations and networking.
  • Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert).
  • Experience with Azure DevOps or GitHub for code repositories and deployment.
  • Familiarity with advanced analytics tools and concepts, including machine learning workflows.
  • Knowledge of additional data visualization tools such as Tableau or Qlik.
  • Experience with Agile methodologies for project management.

#DICE
bhammernik@c4techservices.com
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