Backend Engineer

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

• Responsibilities:

  - Operate within D&A Landscape primarly using AWS Cloud Services and Azure AD, supporting our R&D efforts in drug discovery and development.
  - Supporting and implementing the technical roadmap
  - maintaining platform functionalities, engineering data archive process and adapting to emerging technologies.
  - implementing new features and building and managing deployments.

• Mandatory Skills Description:

  Programming Skills: In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
  • Services : Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
  • Cloud Skills: Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
  • Best Practices: Knowledge of Object Oriented Programming (OOP) and design patternsand excellent code and technical documentation as well as experience with code review.
  • CI/CD & Automation: Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure DevOps).
  • Testing Framework: Experience in testing framework
  • Security: Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

• Nice-to-Have Skills Description:

  Containerization: Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
  • Data Tools: Experience with Iceberg and Snowflake.
  • Familiarity with Terraform, CloudFormation, or CDK for infrastructure automation.
  • Knowledge of NoSQL databases.