BI Engineer - UNRWA

الصفحة الرئيسية

BI Engineer - UNRWA


  • Posting Title: Consultant – BI Engineer, (Local)
  • Department/Office: United Nations Relief and Works Agency (UNRWA)
  • Duty Station: HQ Gaza
  • Posting Period: 15 February 2022 - 28 February 2022
  • Job Opening Number: 22-UNRWA - Information Management-174925-Consultant
  • Staffing Exercise N/A

Result of Service

UNRWA is an equal opportunity employer and welcomes applications from both women and men.
UNRWA encourages applications from qualified women. Only those applicants shortlisted for an interview will be contacted. UNRWA is a non-smoking environment.

Work Location

Gaza, Jordan, Lebanon, Syria, or West Bank

Expected duration

  • The duration of the consultancy is 6 to 11 months, extendable according to performance and availability of funds.
  • Remuneration for this consultancy will depend on fund availability and qualifications, and relevant experience as follows:
    • Cluster A: $1,300.
    • Cluster B: $1,410.70.
    • Cluster C: $1,500.
    • Cluster D: $1,600.
    • Cluster E: $1,800.
  • The incumbent can be in any of UNRWA fields of operations (Gaza, Jordan, Lebanon, Syria, or West Bank).

Duties and Responsibilities

Daily Tasks

  1. Assists the lead data architect in revising enterprise conceptual, logical, and physical data models
  2. Implement the data management solution, including the platform architecture design, ETL/ELT data processes, databases/data warehouse/data lake solution, data model and different data Marts, and additional Analysis services.
  3.  Creates data models that conform with existing standards and business requirements.
  4. Revises data dictionary definitions, governance practices, and standards
  5. Partners with Security specialists to ensure compliance with data security and privacy requirements.

Core Tasks

  1. Work with the team (technical Lead/Architect/other members) and customer focal point to understand the business need and design/implement the technical data management solution.
  2. Design and implement Data Warehouses and Data Lakes solutions based on the customers’ business requirements, mainly using Microsoft technologies.
  3. Design and implement complex ELT and ETL processes using Integration Services (SSIS) or Azure Data Factory.
  4. Design and develop Analysis Services OLAP Cubes and Tabular Views
  5.  Develop scripts accordingly to the data need (stored Procedures with T-SQL, Python or R, eventually PowerShell or . NET).
  6. Design conceptual and logical data models and data flowcharts
  7. Design Data-as-a-Service solution, on-premises, and Cloud-based, based on Data API Gateway and other Cloud services.
  8. Implement Data Catalog solutions.
  9. Migrate data from legacy systems to new data platform solutions.
  10. Improve system performance by conducting tests, troubleshooting, and integrating new elements
  11. Optimize new and current database systems.
  12. Perform other duties as may be required.

Qualifications/special skills

Academic Qualifications:

  • A university degree from an accredited educational institution in information technology, information management, computer science, Computer Engineer, or other related disciplines;

Experience:

  • Experience in Business Intelligence, Data Management, Information Systems with On-premise and Cloud technologies as per the following:
    • Cluster A: A minimum of 1.5 years of experience.
    • Cluster B: A minimum of 3 years of experience.
    • Cluster C: A minimum of 4 years of experience.
    • Cluster D: A minimum of 5 years of experience.
    • Cluster E: A minimum of 7 years of experience.
  • Experience with data visualization tools (e.g., Power BI, Qlik, Tableau)
  • Expert knowledge of Data modeling (OLTP and OLAP models), Data Integration (ELT/ETL), Data Lake/Data Warehouse/Data Marts implementation, and Data Analysis models (Analysis Services).
  • Microsoft Data Management technologies, platforms, and applications experience is mandatory.
  • Experience with Cloud Data & BI environment (MS Azure mandatory, AWS a plus).
  • Communicating in a credible and effective way
  • Experience working as a member of distributed data architecture teams (on-premise or Cloud)
  • Experience in Agile development methodology and concepts.
  • Experience with service-oriented architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures is a plus.
  • Experience with Databases such as Microsoft SQL Server or Oracle is a plus.

DESIRABLE EXPERIENCE

  • • Data certification (such as Microsoft Data Certifications, Microsoft Data Management and Analytics, Microsoft Azure Big Data Analytics Solution.)
  • • Prince2 Agile, ITIL, SCRUM.

Competency:

  1.  Excellent verbal and written communication skills, interpersonal and collaborative skills.
  2. • Demonstrate initiative, dependability, and ability to work with little supervision.
  3. • Demonstrate personal integrity and the ability to professionally handle confidential matters and show an appropriate level of judgment and maturity.
  4. • Ability to deliver quality results.
  5. • Demonstrate Teamwork skills and collaboration skills.
  6. • Excellent in time management, organization, and attention to detail.
  7. • Exemplary customer service skills.
  8. • Demonstrable critical thinking and problem-solving.
  9. • Thrive in an unstructured, fast-moving, and constantly evolving high-growth environment.
  10. • Prioritize conflicting demands.
  11. • Execute assigned project tasks within an established schedule.
  12. • Ability to maintain confidentiality.

Language:

  • Fluent in spoken and written English.

APPLICATION PROCESS



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