Data ops engineer in drug discovery

We have 30 years of expertise in designing and building custom software systems. We provide software development services focusing on complex high-load applications, AI and BI solutions, and mobile apps. We are looking for a DataOps Engineer who will be responsible for building, maintaining, and optimizing data pipelines and infrastructure that support drug design and discovery.

• Design and maintain data models and databases, ensuring data structures are reliable, efficient, and adaptable to evolving scientific and business requirements.
• Build and optimize data pipelines using Python and modern data engineering practices to ingest, transform, validate, and organize scientific data.
• Manage and evolve data infrastructure across PostgreSQL and Snowflake, extending existing data models to support new data sources and modalities.
• Improve data quality, accessibility, and scalability by implementing validation and monitoring practices, optimizing data operations, and collaborating with software engineering and scientific teams to support research and AI-driven applications.

• Hands-on experience in data modeling, database design, architecture, and maintenance.
• Strong experience with PostgreSQL, including database structure, SQL queries, and performance optimization.
• Practical experience with Snowflake and modern data warehousing concepts.
• Proficiency in Python for data processing, pipeline development, and automation.
• Understanding of data engineering principles, including data quality, reliability, scalability, and maintainability.
• Ability to troubleshoot data-related issues and collaborate effectively with software engineers, data scientists, and scientific researchers.
• English level B2+.
• Будет плюсом: Experience with API design and integration; Familiarity with AWS or other cloud platforms; Experience with Docker and containerized applications; Knowledge of Kubernetes and container orchestration; Familiarity with GitOps and infrastructure automation practices; Experience developing or integrating AI-powered applications; An academic or professional background in life sciences, chemistry, computational biology, bioinformatics, or drug discovery

• Collaboration via a B2B contract with payments in USD or EUR, depending on your preference, or through a labor contract
• Flexible work schedule.
• Possibility to work remotely
• Opportunities for professional growth.
• A company laptop to ensure a comfortable and efficient work setup.