Role Responsibilities: * Design, develop, deploy, and manage AWS infrastructure for the Data Science / Machine Learning team * Build and maintain data acquisition pipelines (API, web scraping, databases) * Develop, deploy, and manage BI tools (Power BI, Looker, Metabase, Grafana) * Ensure data security across all systems * Manage OLAP systems for analytical processing
Required Skills & Experience: * 5+ years in IT operations and cloud infrastructure management (AWS) * Solid knowledge of ML services (Amazon SageMaker, Amazon Bedrock, and others) * Experience with IaaC development (Terraform) and infrastructure automation (Docker, Kubernetes) * Hands-on experience with repository management, branching strategies, and CI/CD (Bitbucket) * Experience with data lakes (AWS S3) and databases (PostgreSQL, ClickHouse), proficient in SQL, understanding of OLAP * Hands-on experience with data pipeline management and ETL processes * Strong experience with BI tools (Power BI, Looker, Metabase, Grafana) * Proficient in Python for automation of data pipelines * Upper-Intermediate (B2+) or higher level of English
Would be a Plus: * AWS certifications (e.g., AWS Certified DevOps Engineer) * Experience with Azure and/or GCP
What We Offer: * Career growth within an international team working on an interesting product with a proven track record * Competitive salary and financial stability * Flexible working hours (Mon—Fri, 8 hours/day) * Free English courses and an education budget for professional development
