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Data Engineer

Posted 4 months agoViewed

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💎 Seniority level: Senior, 3 or more years

🔍 Industry: Software Development

🏢 Company: SumerSports

🗣️ Languages: English

⏳ Experience: 3 or more years

Requirements:
  • Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience.
  • Some exposure designing cloud native solutions and implementations with Kubernetes
  • Experience with Airflow or similar pipeline orchestration tools.
  • Strong background in Python programming.
  • Demonstrated experience in collaborating with Data Science and Engineering teams in a production environment.
  • Firm grasp on SQL and knowledge of relational data modeling schemas.
  • Preference for experience with Databricks or Spark
  • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance.
  • Effective communicator with the ability to advocate best data practices across the organization.
  • Passion for coaching and working in a team-oriented environment.
  • Commitment to improving developer experience and productivity.
  • Experience with distributed systems, microservices architecture, and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Excellent problem-solving skills and the ability to analyze and debug complex issues.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Responsibilities:
  • Develop and maintain data pipelines using Databricks, Airflow, or similar orchestration systems.
  • Write robust, maintainable code in Python, following best practices and coding standards.
  • Design and implement solutions using Kubernetes, ensuring high availability and scalability.
  • Gather product data requirements and implement solutions to ingest, process, and serve that data to applications at scale
  • Collaborate closely with Data Science and Engineering teams to build production-ready applications, optimizing for performance and scale.
  • Cultivate data from a wide range of sources for use by our data scientists and maintain documentation for data.
  • Design a modern data stack, with a keen focus on providing a platform for data scientists and ML engineers to develop production ready models and pipelines.
  • Work across Data Science and Engineering teams to ensure effective collaboration and communication.
  • Actively participate in code reviews, coaching, and mentoring within cross-functional teams.
  • Enhance the developer experience through improved tooling and reduced toil.
  • Stay informed of industry advancements and advocate for the adoption of new technologies and best practices.
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