Data Platform Engineer

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

📋 Description

• Design and develop a cloud-based data platform infrastructure utilizing Infrastructure as Code (Terraform), emphasizing scalability, security, reliability, and cost-effectiveness.

• Create and sustain CI/CD pipelines that automate data engineering workflows, data pipeline deployments, and infrastructure provisioning, ensuring quicker deployment cycles and reducing errors.

• Implement and manage observability solutions by integrating monitoring, logging, and metrics to guarantee platform reliability, performance insights, and rapid incident response.

• Work closely with data engineers and cross-functional teams to design and execute data pipelines, data models, and platform features that satisfy performance and business needs.

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

⛳️ Requirements

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

• A proven history of designing and implementing reliable, scalable data platforms and data infrastructures, not merely supporting but owning end-to-end delivery.

• Required hands-on experience with contemporary data engineering tools such as dbt, Apache Airflow, or Apache Kafka.

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

• Extensive experience with AWS or GCP, including data storage and processing services (e.g., BigQuery, Snowflake, S3, Redshift).

• Practical knowledge of Kubernetes and containerized workloads for orchestrating data platform services.

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

• Strong programming abilities in Python, SQL, and Bash for building data pipelines, automating workflows, and processing data.

• Exceptional problem-solving skills and the capability to work effectively in a collaborative, fully remote setting.

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

• Experience with real-time data processing (e.g., Kafka, Spark Streaming) and familiarity with both SQL and NoSQL data storage solutions is a plus.

🏝️ Benefits

• At Paymentology, we focus not only on creating outstanding payment technology but also on cultivating a company culture where individuals feel valued and their contributions are significant.

• Join a diverse, global team dedicated to making a positive difference through our work.

• Whether collaborating across time zones or engaging in initiatives that support local communities, you will discover genuine purpose in your work and the freedom to grow in a supportive, progressive environment.