Data Platform Engineer

This is a fully remote position, open to applicants in Slovenia.

📋 Description

• Design and develop cloud-based data platform infrastructure utilizing Infrastructure as Code (Terraform).

• Create and sustain CI/CD pipelines that streamline data engineering workflows.

• Implement and manage observability solutions that incorporate monitoring, logging, and metrics.

• Work collaboratively with data engineers and cross-functional teams to design and execute data pipelines, data models, and platform functionalities.

• Employ best practices for high availability, disaster recovery, security, and cost optimization while documenting infrastructure patterns and operational processes.

⛳️ Requirements

• 3-5 years of practical experience in Data Engineering, Platform Engineering, or DataOps positions.

• Demonstrated success in designing and implementing dependable, scalable data platforms and data infrastructure.

• Practical experience with contemporary data engineering tools such as dbt, Apache Airflow, or Apache Kafka.

• Proficient in Infrastructure as Code (Terraform) and cloud architecture models on AWS or GCP.

• Extensive experience with AWS or GCP, focusing on data storage and processing services.

• Hands-on experience with Kubernetes and containerized workloads for orchestrating data platform services.

• Experience in implementing observability stacks for monitoring, logging, metrics, and alerting within data platforms.

• Strong programming abilities in Python, SQL, and Bash.

🏝️ Benefits

• A diverse, global team

• Opportunities for professional growth

• Positive impact initiatives