MLOps | Data Engineer

Remote | Full-time 

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