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DIGITAL BEHAVIOUR LAB is looking for employees for positions:
engineer
engineer
Responsibility
designing, implementing, and maintaining large-scale data processing systems on AWS, ensuring that they are scalable, efficient, and reliable
developing and maintaining documentation for data processing systems, including technical
Requirements
deep understanding of data science toolkits such as Jupyter Notebook, NumPy, Pandas, scikit-learn, etc
A bachelor's, master's degree or PhD in Computer Science, Electrical Engineering, Data Science, or a related field
experience working with relational databases, with a strong understanding of data modelling and schema design, specifically with Postgres
experience building solutions on AWS and leveraging cloud service provider infrastructure to handle high amounts of data processing at scale
knowledge of engineering best practices and processes such as TDD, code reviews, code refactoring, branch management, and CI/CD practices is essential
excellent troubleshooting and problem-solving skills, with the ability to debug complex systems and data issues
strong working knowledge of Python and related infrastructure, including AWS Glue and AWS Lambda, working with analytics services, APIs, optimizing performance, and working with cloud environments such as AWS
experience mentoring junior data engineers and providing guidance on best practices and processes