Data Engineer

Ihre Aufgaben

The UNICC workforce consists of many diverse nationalities, cultures, languages, and opinions. UNICC seeks to sustain and strengthen this diversity by ensuring equal opportunity and an inclusive working environment for its entire workforce. Applications are encouraged from all qualified candidates without distinction on grounds of race, ethnicity, sex, national origin, age, religion, disability, sexual orientation and gender identity., The Data Engineer will work under the direct supervision and guidance of the Chief, Data and Analytics Unit (DDA) within the Digital Delivery Division (DD) and in close collaboration with the Data and Analytics team.

In this role, the task portfolio of the incumbent will include public and private cloud, networks, storage, computer & big data applications related duties. The incumbent will work on a variety of challenging problems from building UN partners Enterprise data infrastructure, to implementing public and private cloud-based solutions, to providing seamless, on-demand scaling of enterprise applications., Within delegated authority, the Data Engineer will be responsible for the following duties:

• Architect, create, and maintain data pipelines as the incumbent's primary responsibility

• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

• Design data integrations and data quality framework

• Optimize Data Pipeline workloads move from development to production for specific use cases

• Manage the identification, design, and implementation of internal process improvements: automating manual processes, optimizing data delivery, redesigning architecture for greater scalability

• Deploy resources to extract data features from complex datasets for data scientists and data analysts

• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture,

• Teamwork: Develops and promotes effective relationships with colleagues and team members. Deals constructively with conflicts.

• Communicating: Expresses oneself clearly in conversations and interactions with others; listens actively. Produces effective written communications. Ensures that information is shared.

• Producing results: Produces and delivers quality results. Is action oriented and committed to achieving outcomes.

• Moving forward in a changing environment: Is open to and proposes new approaches and ideas. Adapts and responds positively to change.

• Knowing and managing yourself: Manages ambiguity and pressure in a self-reflective way. Uses criticism as a development opportunity. Seeks opportunities for continuous learning and professional growth.

Ihr Profil

Essential:

• At least five (5) years of experience in the Data & Analytics area, including proven experience in:

• Data engineering

• Python or Java development

• SQL

• Schema design and dimensional data modelling

• Cloud platforms such as AWS, Data Bricks, Azure or Google cloud services

• Ability in managing and communicating data warehouse plans to internal clients

• Hands-on experience with data cleaning, visualization, and reporting

  Desirable:

• Experience designing, building, and maintaining Enterprise Data platforms

• Experience working with either a Map Reduce or an MPP system on any size/scale

• Experience with No-SQL databases

• Experience with or knowledge of Data Platforms such as Databricks, Azure, Google Cloud, AWS, Incorta and MDM tool sets

• Excellent problem solving and troubleshooting skills

• Knowledge of best practices and data operations

• Experience in design the architecture of UNICC's big data platform

• Experience in designing and implementing data stores that support the scalable processing and storage of high frequency data

  Education*:

  Essential:

• First university degree in computer science, data science, or a related field

  Desirable:

• Experience working in an agile environment

• Advanced university degree in computer science, data science, or a related field

  Languages:

• English: Expert knowledge is required

Wir bieten Ihnen

Fee will be based either on the National Officer salary scales or the Individual Consultancy band levels (for Headquarters)

• National Officer Salary Scale

• For headquarters, Individual Consultancy band levels will be used

  UNICC also offers generous leave and absence allowances, flexible working hours, overtime compensation, teleworking, access to training, and depending on eligibility other benefits such as relocation grant, dependency allowance, language allowance, or education grant.