Инженер данных

EPAM Systems provides digital engineering, cloud, and AI-enabled transformation services, as well as digital product development and consulting. The company supports global organizations in various industries, including pharmaceuticals, by designing and maintaining data platforms and technical solutions.

• Design, develop and maintain a production-grade data platform with data observability capabilities;
• Build and optimize scalable data pipelines and ETL/ELT workflows;
• Develop and deploy cloud-native solutions on AWS;
• Implement and maintain CI/CD pipelines;
• Conduct code reviews and enforce coding standards and testing practices;
• Collaborate with data scientists, ML engineers and product managers to deliver technical solutions;
• Contribute to architecture discussions and design decisions;
• Participate in Agile/Scrum ceremonies.

• 8+ Years of professional data engineering experience with data infrastructure and data platform expertise;
• Proficiency in SQL and Python to write clean, efficient, well-tested code;
• Proven track record of designing, building and deploying complex data platforms and data products;
• Expertise in Airflow, DBT and Snowflake along with AWS native services;
• Familiarity with data observability tools such as Datadog and Monte Carlo;
• Skills in cloud operations including monitoring, cost management and infrastructure reliability;
• Knowledge of Git and CI/CD tools like GitHub Actions;
• Understanding of Agile/Scrum methodologies;
• English proficiency at B2 level or higher;
• Nice to have: Background in pharma or life sciences industry, Experience with RESTful API and microservices development, Knowledge of data governance, lineage or metadata management.

• No conditions specified