Description:
For an international organization in Geneva, we are urgently looking for a Full Remote Senior Data Engineer with Python and Amazon Web Services experience. As Data Engineer you will implement data pipelines and using data mining and predictive modelling techniques to gain insights, predict behaviours, and generate value from customer data.
Candidates need to be willing to work normal office hours in Geneva. This positions is long-term.
Tasks and responsibilities:
- Extend the Platform by implementing new functionality using infrastructure as code approach;
- Deploy ML models and ETL jobs/workflows using a CI/CD pipeline;
- Identify and address privacy and confidentiality concerns. Collaborate with the establishment of data-handling practices to ensure the Organization’s information security guidelines are followed;
- Establish model drift monitoring strategies;
- Use Natural Language Processing to establish relationships between multiple datasets;
- Identify and communicate how structured and unstructured data can be used to enrich datasets and increase knowledge about the customer;
- Define relevant features for data modelling and participate in its implementation;
- Provide time sensitive analyses on various customer and business questions;
- Prepare reproducible analyses using data science notebooks;
- Prepare concise data reports and present information using visualization techniques to management and stakeholders;
- Perform other related duties as required;
Your profile:
- University degree in information technologies, machine learning, data science or related field;
- 5+ years of experience in an enterprise data science or data engineering role;
- Expert knowledge of SQL, Python and related ML packages;
- Expert knowledge of solution architecture in Amazon Web Services;
- Expert knowledge of cloud-based data engineering;
- Knowledge of CI/CD tools and analytics model deployment;
- Desirable: Knowledge of provisioning of data APIs; Experience with Natural Language Processing tools and techniques; Experience with data visualization tools and methods; Proven ability to communicate with business experts and present ML results;
- Expert knowledge of Amazon Web Services, SQL, Python, Jupyter, Athena, Glue, Spark, CloudFormation;
- Excellent written and spoken English;