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Job Summary
Under the supervision of the Section Chief and Senior Economic Data Systems Engineer, the selected candidate will be primarily responsible to assess, design, and support data life cycle solutions within the Data Life Cycle Engineering Section of the Data & Economics Division.
The candidate will assist to explore, identify, assess, and provide data engineering and technical services that support the entire data lifecycle. This role will serve as Subject Matter Expert (SME) on providing country desks and economists with specialized support in managing their macro framework and various economic services and systems, including the provisioning of access to internal and external Economic Databases and deliver assistance to Fund staff on issues related to Fund standard tools used for information and data management.
Main Duties and Responsibilities
Day‐to‐day operations of Economic Data Systems supporting economic and commercial data products as part of the Economic Data Lifecycle Platform.
Managing and monitoring installed Economic Data Systems and solutions and associated IT infrastructure to ensure smooth production operations.
Participating in engineering designs for Economic Data Systems and platforms to enable the IMF’s core business capabilities including surveillance, lending, and capacity development.
Hands on development of applications and services.
Leading moderate to complex programming tasks and provide code reviews of various development tasks.
Participating in system design and specifications, program logic and flowcharting, development, testing, debugging, documentation, and support.
Providing analysis of problems and recommends solutions.
Partnering with business stakeholders and serve as a SME to lead and complete each data production cycles.
Minimum Requirements
Educational development, typically acquired through the completion of an advanced university degree in computer science, engineering, mathematics or related field of study or equivalent or a bachelor’s degree in computer science or a related field of study plus a minimum of 6 years of relevant professional experience, is required.
Required Skills:
Strong technical skills in structured data management tool and functionalities and related programing, especially EXCEL.
Strong communication skills with a track record of working with and collaborating with teams.
Must possess the ability to handle multiple on-going assignments and be able to work independently in addition to contributing as part of a highly collaborative team.
Strong analytical and quantitative skills with the ability to break down and communicate complex issues, ideas, and solutions.
Be able to create and articulate design/implementation options and tradeoff to peers, tech leads, and management.
Ability to clearly document application designs and the related management and support procedures.
Ability to understand all phases of SDLC.
Ability to quickly ramp-up on new/emerging technologies as required.
Technology & Technical Skills:
.NET expertise
Enterprise relational database management (SQL Server)
Web services and APIs as in RESTful and SOAP
Agile practices
Service-oriented application development
Azure DevOps technologies
Python, R
Web technologies/JavaScript
Preferred Attributes:
Economic Data experience,
Knowledge of Economic Data Systems
Solid understanding of information security best practices
Experience with structured and unstructured data processing
Experience with data exchange formats and protocols
This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability, and continuous business need.
The IMF is committed to achieving a diverse staff, including gender, nationality, culture, and educational background.
Department:ITDDEEL Information Technology Department Data & Economics Economic Lifecycle Engineering Section
Hiring For: A09, A10
The IMF is committed to achieving a diverse staff, including age, creed, culture, disability, educational background, ethnicity, gender, gender expression, nationality, race, religion and beliefs, and sexual orientation. We welcome requests for reasonable accommodations for disabilities during the selection process.
