Data Engineer Consultant
hace 2 semanas
JOB PURPOSE AND KEY ACCOUNTABILITES Being an active member to the Research, Assessment and Monitoring (RAM) team that promotes the generation of programmatic evidence and support capacity strengthening effort in the region.
RAM in RBP seeks a Data Engineer to support the research and development of the aforementioned activities and systems and ensure their maintenance moving forward.
The Consultant will be responsible for the following activities:Develop an integrated monitoring system, building upon WFPs global monitoring capabilities, to establish an automated real time alerting and triggering system for food security crises across LAC.
Build integrated data lake, with an array of food security information and information on the drivers of food insecurity.Design APIs and API gateways to connect to the various data streams needed. Manage real-time monitoring data pipelines in LAC, in collaboration with the engineering team in WFPs Hunger Monitoring Unit. Manage SQL databases and associated cloud environments. Develop front end visuals for partners, using advanced software development languages and tools.
In all activities, ensure adherence to WFP policies regarding data, including data privacy, security, management, and code documentation.
Serve as principal trainer to ensure capacity-building of other technical staff in Panama and the various country offices throughout LAC as required.
Participate in field missions as required. Perform other tasks on support to the RAM team as required.DELIVERABLES AT THE END OF THE CONTRACT:
Real time food security crisis alerting and triggering system.
Integrated post crisis monitoring system. Effective management and maintenance of systems and databases. Presentations and trainings on SQL, python and approaches to front end visualizations. Documentation and guidelines on systems management and functioning.
STANDARD MINIMUM QUALIFICATIONS AND EXPERIENCE REQUIRED:
Education:
Advanced University degree in statistics, engineering, mathematics, computer science, quantitative economics or a similar quantitative field.
Experience:
At least three to five years of progressively responsible professional experience in a data science-related field
Knowledge & Skills:
Strong Python programming skills and experience with data science libraries (pandas, numpy, scikit-learn, keras/tensorflow/pytorch, etc.) is required. Experience in designing, querying and maintaining SQL databases (NoSQL an asset). Experience with developer tools (git, aws, docker, etc.).
Data Visualization coding skills (JavaScript libraries, react) and Business Intelligence software (Tableau). Experience working with the humanitarian sector or in a social science field. Experience with Remote Sensing data and GIS skills (QGIS, GDAL) is highly valued.
Languages:
Spoken and written English fluency required (level C), spoken and written Spanish highly desired
WFP LEADERSHIP FRAMEWORK:
EXPECTED BEHAVIOURS Lead by example with integrity.1.
Demonstrate and encourage others to uphold WFP values, principles, and standards.2. Value diversity using respectful and inclusive language, and encourage others to do the same.3.
Stay focused and calm when under pressure, encourage others to do the same, and offer guidance and support to manage difficult situations.4.
Demonstrate humility and a willingness to learn and share knowledge, frequently seeking and acting on feedback, and pursuing opportunities to develop.
Drive results and deliver on commitments.1.Identify and align objectives to the required outcomes, holding self and/or others accountable for the delivery of results for maximum impact.2.
Delegate responsibly and provide appropriate support, empowering others to deliver results. 3.Respond readily to change in different contexts and adapt accordingly. Be inclusive and collaborative1. Promote inclusive teamwork and psychological safety by encouraging colleagues to collaborate by sharing ideas and openly raising issues.2. Support development for others by giving timely and constructive feedback.3.
Gather data and different perspectives, share knowledge, and use evidence to inform decision making.4. Implement decisions, considering the risks and implications of actions for teams, projects, and other initiatives. Build and maintain sustainable partnerships.1. Initiate and build partnerships by identifying and promoting opportunities for mutual areas of interest and benefit.2.
Collaborate with partners to deliver common objectives by sharing information and working together on agreed solutions.
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