Description

You will maintain and support the data platform, ensuring stability and uptime through proactive monitoring and issue resolution.

This role is on-site.

Responsibilities

• Maintain platform stability and ensure high availability of data services.
• Provide L1 support for platform issues and participate in an on-call rotation.
• Manage and optimize workloads running on Kubernetes.
• Orchestrate data workflows using Airflow.
• Utilize Jupyter Notebooks for development and analysis.

Required Skills

• 5+ years of experience in data platform engineering.
• Proficiency with Apache Spark for large-scale data processing.
• Experience managing Kubernetes clusters and containerized workloads.
• Hands-on work with Apache Iceberg for data lakehouse management.
• Workflow orchestration using Apache Airflow.
• Working knowledge of AWS environments.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate