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Data Scientist

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**Description of the task**:Following tasks will be performed by external service provider:

- Development of features to enhance the user experience.
- Building reusable code for future use.
- Understanding and implementation of security and data protection.
- Cross-platform optimisation.
- Implement core business logic.
- Maintenance of code integrity and organisation.
- Writing clean, functional code.
- Compile and analyse data, processes, and codes to troubleshoot problems and identify areas for improvement.
- Testing and fixing bugs or other coding issues.
- Coordination of the implementation of the technical architecture.
- Participation in technical working groups, progress meetings and meetings with the users.
- Design and development of architecture components and building blocks using cloud components.
- Translating project-specific needs into a cloud structure that will suit those needs and considering the project needs in terms of resource usage and scalability.
- Designing the cloud environment from a holistic point of view, ensuring it meets all of the company's requirements.
- Carrying out deployment, maintenance, monitoring, and management tasks within this implemented cloud structure.
- Monitoring cloud resources usage in the cloud and making sure the structure is operating at full efficiency.
- Conducting migration, where necessary, to bring tools and other elements into the cloud.
- Maintenance of cloud services.
- Operational support for cloud services.
- Setting up and maintaining the required tools for IaC (infrastructure as code).
- Creating and documenting IaC ((infrastructure as code)) working procedures and processes.
- Development of infrastructure code.
- Testing infrastructure code and developing automated tests.
- Interaction with the business analysts, customer, users, project leaders and the developers
- Production of technical documentation.
- Participation in meetings with the various stakeholders.
- Periodic reporting on the work performed.

**Level of Education**:A minimum educational qualification for lot 2 is: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelor degree of 3 years.**Knowledge and Skills**:Following skills and knowledge are required for the performance of the above listed tasks:

- Good knowledge of data processing architecture best practices and patterns.
- Good knowledge of data processing tools in the cloud.
- Good knowledge of modelling tools.
- Experience in administering systems in a virtualized Cloud environment.
- Strong understanding of security, risk and compliance frameworks, disaster recovery, high availability architectures, hardware, operating systems and networking connectivity.
- Good knowledge of cloud infrastructure setups from vendors such as, but not limited to, Azure and Amazon.
- Analysis and problem solving skills
- Capability to write clear and structured technical documents
- Ability to participate in technical meetings and very good communication skills with technical and nontechnical audiences
- Fluency in English both in oral and written expressio

**Specific Expertise**:Following specific expertise is mandatory for the performance of tasks:

- At least 4 years of specific expertise with data processing languages such as R, Python, Scala, Julia (min. competence level4)
- At least 2 years of specific expertise with distributed computing tools such as Spark, Hadoop, Hive (min. competence level3)
- At least 2 years of specific expertise with cloud services operation, preferably AWS (min. competence level 3)
- Good knowledge of architectural design and implementation of scalable modern data stores.
- Knowledge of data management in PostgresSQL and OpenSearch
- Knowledge of code versioning tools such as Git or Gitlab.

**Certification & Standards**:Following certificates & standards are required for the performance of tasks:

- Microsoft Certified Data Scientist or
- Microsoft Certified Data Engineer or
- AWS Certified Data Analytics or
- AWS Certified Big Data

**Job Types**: Full-time, Permanent