Data Platform Engineer

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

📋 Description

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

• Create and sustain CI/CD pipelines that automate workflows in data engineering and infrastructure provisioning.

• Establish and manage observability solutions.

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

• Apply best practices for ensuring high availability, disaster recovery, security, and cost efficiency.

⛳️ Requirements

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

• A proven history of 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 is essential.

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

• Extensive experience with AWS or GCP, particularly in data storage and processing services.

• Hands-on experience with Kubernetes and containerized applications.

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

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

• Excellent problem-solving skills with the capability to effectively collaborate in a fully remote environment.

• A strong desire to enhance expertise in data architecture, data modeling, and MLOps capabilities.

🏝️ Benefits

• Flexible work arrangements

• Professional development opportunities