Senior Data & Software Engineer

•         B.Sc. or equivalent hands-on years of experience in Computer Science/Engineering
•         3+ years of hands-on commercial-grade software development
•         Experience implementing a data lake architecture
•         Strong software development experience in any/most of the following skills: Python, JavaScript, Java,  Scala, GoLang
•         Extensive experience in databases for handling and integrating large-scale datasets and data science technologies for structured and un
          structured data, such as MySQL, PostgreSQL, MongoDB, DynamoDB, RedShift, Apache SPARK, Hadoop, MapReduce
•         Experience in implementing ‘real-time’ (milliseconds) queries on large datasets.
•         Hands-on experience in cloud-based (AWS preferred) platform development with Datalakes, Dockers, Kubernetes, MapReduce, RDS
•         Experience with implanting ETL systems
•         Best practices in version control (Github, CodeCommit), documentation and in dev-stage-prodenvironments
•         Agile/SCRUM and Kanban development
•         Ability to propose, scope and carry out independently end-to-end software development projects, including best practice in QA/QC.
•         Demonstrated impact via the development of novel computational platforms and the adoption of new technologies
•         Experience in the biotech and pharmaceutical industry – an advantage
•         Dev-Ops experience in performance and cost optimization – an advantage
•         A team player in a multidisciplinary environment
•         Outstanding interpersonal, verbal and written communication skills
•         Strong collaborative skills, professionalism and long term commitment