Description

You will engineer, integrate, and maintain an analytics data platform on hybrid cloud infrastructure.

Responsibilities

• Engineer custom solutions in collaboration with the Data Engineering team.
• Maintain and integrate the analytics data platform.
• Develop scalable technical solutions to solve business problems.
• Support stakeholders and platform users as required.
• Manage your own work within agile development workflows and multi-timezone teams.

Required Skills

• 3+ years of professional experience with Python.
• 2+ years of professional software engineering experience focusing on APIs, services, tooling, and automation.
• Hands-on experience with Docker and Kubernetes.
• Practical knowledge of DevOps methodologies.
• Experience with agile development and work management methodologies.
• Bachelor's degree.
• Ability to communicate effectively in written and spoken English.

Preferred Skills

• Professional experience with Java/Scala-based analytics platforms such as Hadoop, Spark, Hive, or Trino.
• Experience with Splunk, Flink, Jupyter Notebook, or Apache Airflow.

Key Skills

Education

Bachelor's degree