Position: Data Engineer
Company: inVerita
Category: Data Science
Experience required: 3y
English level: upper

**Project:**
Our platform is a radical leap forward for remote patient monitoring, empowering clinical decision-making, and improving outcomes without requiring in-office visits.
The Digital team builds and maintains the cloud infrastructure, processing pipelines, and machine learning models supporting our innovative web and mobile applications that enable remote monitoring of patient's vital physiological signals in real-time.

**Requirements:**
• BS in Computer Science, IT, or other technical field preferred;
• 3+ years of relevant work experience as a data engineer, or in a similar role;
• Extensive DevOps / DataOps expertise using core AWS systems (IAM, ECR, S3, etc.) in a highly available and scalable production environment;
• Strong back-end development skills using modern data science languages: Python, SQL, R, GQL;
• General experience working with data systems or data pipelines supporting AI/ML products, particularly in collaboration with data scientists and software engineers;
• Prior experience dealing with healthcare data and related governance frameworks will be a plus;
• English level: Upper-Intermediate or higher.

**Responsibilities:**
• Building and managing  foundational data infrastructure;
• Data and document storage: MongoDB, AWS S3;
• Data warehouses and relational databases: PostgreSQL, Snowflake;
• Orchestration frameworks: Fivetran, Airflow;
• Processing and streaming services: AWS MSK, AWS Lambda;
• Designing and building services for end-to-end data security and data governance.
• Managing access controls across multiple storage and access layers, tracking data quality, cataloguing datasets and sources, usage auditing.