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Data Engineer

3 months ago

Chicago, United States Prodigy Resources Full time

We are seeking a Senior Data Engineer specializing in data UX/visualization to join our dynamic data infrastructure and analytics team. In this pivotal role, you will lead the design, development, and maintenance of robust data pipelines. Your expertise will ensure that data is not only efficiently processed but also presented in intuitive visual formats that empower stakeholders to extract actionable insights.


Responsibilities:

  • Data Pipeline Development: Architect, build, and optimize scalable data pipelines to ingest, process, and transform large datasets from diverse sources.
  • Data Modeling: Design efficient data models and schemas to support analytics and reporting needs, ensuring data integrity and performance.
  • Data Visualization: Develop compelling and interactive visualizations that facilitate exploration and analysis of complex datasets.
  • User Experience Enhancement: Continuously improve usability and accessibility of data visualizations and dashboards.
  • Performance Optimization: Identify and implement optimizations to enhance data processing and visualization efficiency.
  • Data Analysis: Conduct exploratory data analysis to uncover trends, patterns, and correlations, providing insights to stakeholders.
  • Collaboration: Partner with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Quality Assurance: Implement rigorous testing and validation processes to ensure accuracy and reliability of data outputs.
  • Documentation: Document data pipelines, models, and visualization designs to support maintainability and knowledge sharing.
  • Technical Leadership: Mentor junior team members, promote best practices, and contribute to a culture of continuous improvement.
  • Stay Updated: Keep abreast of emerging trends and technologies in data engineering, visualization, and UX/UI design.


Qualifications:

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience in data engineering with a focus on data visualization and UX.
  • Proficiency in SQL, Python, and PySpark.
  • Experience with data visualization tools; proficiency in Power BI and Superset/Preset preferred.
  • Strong analytical and problem-solving skills, with the ability to translate insights into actionable recommendations.
  • Excellent communication skills, capable of conveying technical concepts to non-technical stakeholders.
  • Adaptability to fast-paced environments and evolving priorities.
  • Team player with strong collaboration and interpersonal skills.


Preferred Skills:

  • Experience with Git, Jira, Databricks, AWS, and Terraform.
  • Prior experience in Git, Jira, Databricks, AWS, and Infrastructure as Code (Terraform) is advantageous.