
Lead Data Engineer
Posted May 24

Posted May 24
This is a fully remote position, open to applicants in Poland.
• Lead a team responsible for the AI self-service portal and its associated microservices.
• Collaborate with a diverse group of engineers to enhance our data platform.
• Construct and maintain a distributed platform that supports all ExParte data.
• Engage primarily in our product, focusing on the data pipelines.
• Directly connect with internal teams.
• Assess software and implementation alternatives, documenting them for technical teams.
• Partner with data analysts to gather insights on potential data collection efficiencies and pinpoint automation opportunities for manual processes.
• Implement best qualitative practices in program design and development.
• Be part of a distributed team located in North America and Europe.
• Utilize Azure cloud and Databricks.
• Create technical architectures and specific implementations to address business needs.
• Direct the team’s software engineering best practices by documenting standards and conducting code reviews.
• Diagnose both new and existing code, providing feedback and solutions to structural issues within the codebase as they emerge.
• Consult on the feasibility of nonfunctional requirements and ensure the successful implementation of features while adhering to those requirements.
• 3+ years of experience with Spark, Python, or Scala.
• 3+ years of experience with RDBMS and T-SQL.
• 3+ years of experience with NoSQL and Data Lakes.
• Strong knowledge of map/reduce programming models.
• Proficient in writing production-quality code.
• Extensive expertise in database schema design, optimization, and scalability.
• Experience with Azure or AWS cloud-based service-oriented architecture.
• Solid understanding of the testing pyramid (unit, integration, black box, service).
• Experience working in an Agile/Scrum environment.
• Strong analytical and problem-solving abilities.
• Excellent time management and organizational skills.
• Capable of tackling challenging issues both independently and within a team setting.
• Quick learner with the ability to adapt to new technologies and environments.
• Strong communication skills.
• Nice-to-have's:
• Experience with Databricks or Azure ML.
• Experience applying machine learning algorithms to tackle complex data mining challenges.
• Familiarity with JavaScript/TypeScript, HTML5, and CSS3.
• Experience with .NET core and Entity Framework Core.
• Experience with Power BI Embedded.
• Understanding of cloud platforms and providers, particularly Microsoft Azure.
• Knowledge of CI/CD tools in Azure DevOps.
• Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field.
• Employees have the option to work remotely.
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