Purpose of the Consultancy
The role of the Data Engineer, Frontier Technologies and Data (FTD), will play a pivotal role in the implementation of the recently developed and still under development monitoring tools of the Operations Support and Logistics (OSL) team. The data engineer work would be primarily focused on working closely with OSL data managers to build, manage, optimize and troubleshoot data models and pipelines for data and analytics consumers using existing in-house (custom) tools and/or off-the-shelf technologies. The engineer will also need to safeguard compliance with data governance and data security requirements.
This role will involve promoting data litteracy, effective data management practices and promoting the tools which will assist in better understanding of data and analytics. The data engineer will also participate in meetings and workgroups with key business stakeholders, IT experts and subject-matter experts to assist in planning and delivery of optimal analytics and data science solutions. The data engineer will be considered a developer of the tools needed for these solutions.
Work to be performed
Reporting directly to OSL Operations’ team lead and working in close collaboration with the FTD team, the incumbent will perform the following tasks:
1- In close collaboration with OSL data managers, perform “initial setup” prior to handling over to users, including:
- Analyze health datasets and design storage and view data models based on WHO best practices, naming conventions and industry data modelling patterns (such as star schemas).
- Design and manage reference/master data tables.
- Create ETL-like “pipelines” using the tool, to help users load arbitrarily formatted data.
- Manage users, roles and permissions.
- Set up data catalogue.
2- Drive automation through effective metadata management and assisting with renovating the data management infrastructure, including:
- Learning and using modern data preparation, integration and AI-enabled metadata management tools and techniques.
- Tracking data consumption patterns.
- Performing intelligent sampling and caching.
- Monitoring schema changes.
- Automating — existing and future integration flows.
- Other required tasks.
3- Collaborate across departments to work with varied stakeholders within the Organization for managing various data and analytics initiatives and their data consumption requirements.
4- Support, educate and train e.g. troubleshooting, and proposing appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques in optimally addressing these data requirements.
5- Participate in ensuring compliance and governance during data usage.
6- Provide data management user support, including:
- Help users troubleshoot data loading issues.
- Be available online during specified hours to answer ad-hoc questions from the user community.
- Contribute to training materials, such as documents or FAQs.
- Initiate or participate in online meetings with the service manager and/or users.
7- Support in-house custom tools used for data management, including:
- Become a product specialist of in-house custom tools.
- Suggest ideas for system enhancements and features.
- Test new versions of the software.
- Submit bug reports.
8- Liaise with vendors/suppliers and coordinate their work as needed.
Specific requirements
1. Knowledge and Skills
Essential
- Ability to review raw data in different formats and coding schemes and propose data models, including, design of tables, data types, foreign key relationships, star schemas, fact tables, reference/dimension tables, etc.
- Ability to suggest creative ETL solutions to transform arbitrarily formatted and coded data.
- Ability to write SQL SELECT queries/views using SQL Server Management Studio.
- Knowledge of popular data discovery, analytics and BI software tools like PowerBI, Tableau, and others for semantic-layer-based data discovery.
- Ability to perform functional requirements analysis and business analysis.
- Excellent analytical and troubleshooting skills.
- Ability to communicate clearly and concisely, orally and in writing and establish effective working relationships with people of different national and cultural backgrounds.
- Familiarity in advanced analytics and programming tools such tools such as DHIS, R, Shiny, Python, Javascript, others.
Desired
- Experience with job orchestration tools.
- Familiarity with AI, machine learning, data lakes.
2. Education Qualifications
Essential
- First-level university degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related field.
Desirable
- Post-graduate degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field.
- Professional qualification or foundation certification in analysis methodologies such as IIBA-CCBA/CBAP or PMI-BPA.
- Certifications on database programming languages including SQL, PL/SQL, or emerging tools like NoSQL/Hadoop oriented databases like MongoDB, Cassandra, others.
3. Experience
Essential
- At least five (5) years of professional experience as a Data Engineer.
- Experience working within a project framework (like Agile, Prince2 or PMI) and interacting closely with IT colleagues.
Desirable
- Experience with public health-oriented information systems helpful.
- Experience with United Nations or other international or multinational organizations.
4. Use of Language Skills
Essential
- Expert knowledge in spoken and written English.
Desirable
- Knowledge in spoken and written French desirable.
5. Other Essential IT Skills
- MS Office 365.
.
How to apply:
Contractual Arrangement: INDIVIDUAL Consultancy**
Starting Date: 05-Feb-2021
Ending Date: 30 Apr-2021
Schedule: Full time consultancy
Primary location: WHO Headquarters, Geneva, Switzerland
Application closing date: 28 Jan-2021
Contacts: If you are interested, please send your CV to LORENZIN, Egle at lorenzine@who.int and DUMONT-FILLON, Dorothee at dumontfillond@who.int
IMPORTANT NOTICE: Please note that the deadline for receipt of applications indicated above reflects your personal device’s system settings.