Unclassified - Chicago, IL

posted 5 months ago

Full-time
Remote - Chicago, IL

About the position

As an Azure Data Engineer, you will play a crucial role in leveraging data to drive business solutions across the organization. Your primary responsibility will be to collaborate with stakeholders to identify opportunities for utilizing company data effectively. This involves mining and analyzing data from various company databases to enhance product development, marketing strategies, and overall business performance. You will assess the effectiveness and accuracy of new data sources and data gathering techniques, ensuring that the data used is reliable and relevant. In this position, you will develop custom data models and algorithms tailored to specific data sets. Utilizing predictive modeling techniques, you will work to optimize customer experiences, revenue generation, ad targeting, and other key business outcomes. A significant part of your role will involve creating a robust A/B testing framework to evaluate model quality and effectiveness. You will coordinate with different functional teams to implement these models and monitor their outcomes, ensuring that the data-driven strategies are yielding the desired results. Your team is focused on developing data pipelines and transformations to support analytics and ad hoc queries. With additional projects approved to extract and curate new data or remediate changes to existing data, your expertise will be essential in managing these tasks efficiently. You will leverage the Azure stack, particularly Azure Data Factory, to bring new data into the cloud data lake and transform it for consumption, ensuring that the data is accessible and usable for various analytical purposes.

Responsibilities

  • Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to optimize product development and marketing techniques.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to enhance customer experiences and revenue generation.
  • Develop A/B testing framework and evaluate model quality.
  • Coordinate with functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Create data pipelines and transformations to support analytics and ad hoc queries.

Requirements

  • 3+ years of experience in data engineering or related field.
  • Proficiency in Azure Data Factory, Azure ADLS, Azure SQL, and data modeling.
  • Experience in technical documentation creation.
  • Bachelor's degree in a relevant field.

Nice-to-haves

  • Ability to troubleshoot and work independently with support.
  • Strong communication skills.
  • Collaborative work style.
  • Azure data engineer certifications.
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