Remote Data Platform Engineer

Summary

Join our team as a Data Scientist and help us build a state-of-the-art data platform that centralizes, processes, and analyzes vast amounts of data. As a proficient Data Scientist, you will develop and manage robust data pipelines, ensure high data quality, and amplify the value of data by educating and collaborating with others.

Requirements

• Experience in Data Engineering (Data Pipelines, ETL, Data Quality, OLAP, Big data frameworks)
• Experience in Infrastructure and DevOps (Cloud infrastructure, Terraform, k8s, Docker, Prometheus)
• Experience in Analytics Engineering (Data Modelling, Data warehouses, Workflow Managers)
• Experience in Backend Engineering (API, Micro-services, OLTP storages, Stream processing)
• Experience with Continuous Integration Tools (Gitlab Ci, Teamcity, Jenkins)
• Experience with Python, SQL

Responsibilities

• Develop and manage robust data pipelines, ensuring high data quality
• Develop and own the data Infrastructure using IaC and DevOps practices
• Develop and own the data lakehouse system through effective data modeling and data governance
• Develop and maintain real-time data applications (microservices and stream processing systems)
• Develop and maintain CI/CD pipelines for streamlining code integration, testing, and deployment

Benefits

• State-of-the-art technologies (Google Cloud Platform, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL)
• A collaborative and friendly team of professionals
• High engineering standards (with a focus on change management and data quality)
• Flexible schedule
• Generous vacation policy
• Paid 21 days of holidays per year and 10 additional days for national holiday
• Training opportunities for growth and expansion of knowledge
• Ability to work remotely
• Flexible and hybrid schedule – we value work-life balance
• Referral Bonus Program