What are the responsibilities and job description for the Lead Data Engineer / (Associate) IT Officer, Data and Information Management position at World Bank Group?
Job Details
Lead Data Engineer / (Associate) IT Officer, Data and Information Management
Job #:
req32817
Organization:
IFC
Sector:
Information Technology
Grade:
GF
Term Duration:
3 years 0 months
Recruitment Type:
International Recruitment
Location:
Washington, DC,United States
Required Language(s):
English
Preferred Language(s):
Closing Date:
4/30/2025 (MM/DD/YYYY) at 11:59pm UTC
Description
IFC - a member of the World Bank Group - is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. For more information, please visit
Information Technology is an integral part of the strategic initiatives for all the core business functions at IFC. Within Corporate Information and Technologies (CIT), Data Engineering, AI, and Platforms (CITDE) organization provides comprehensive data and analytics support for IFC's various organizations, such as Economics & Private Sector Developments, Global Industries, Climate Business, Treasury and Mobilization, and many more. A robust engagement model with business ensures prioritization of the business requirements & focus on delivery. The solution landscape encompasses a wide variety of in-house and customized data applications, AI/ML solutions, and scaling capabilities that meet the business needs of IFC departments.
Data Engineering & Platforms (CITDE) is seeking a Data Engineer with expertise in migrating transactional database systems to Microsoft Azure Cloud Platform. You will understand technical requirements and assist in designing, planning, managing, and troubleshooting the data migration process and data pipelines. In addition to creating and maintaining an optimal pipeline architecture, this role is responsible for identifying, designing, and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Working with stakeholders, including data, design, product, and executive teams, and assisting them with data-related technical issues. Lastly, working with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs while assisting with data-related technical issues.
Duties and Accountabilities
Design standardized data architecture and best practices to support batch ingestion, real-time and near real-time integration and ETL, data quality rules, and structuring data for analytic consumption by end users.
Lead the design and development of modern data solutions leveraging Azure Logic Apps, Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse, and Databricks.
Conduct enterprise-wide data discovery and profiling to understand existing data sources, structures, and dependencies.
Architect secure and efficient data integration pipelines for ingesting, transforming, and loading data from various source systems.
Ensure data lineage and traceability across the organization's data ecosystem.
Implement data security measures and data operations metrics, access controls, and authentication mechanisms to protect sensitive data and ensure compliance.
Develop and implement data retention, archiving, disaster recovery, and business continuity policies and plans.
Continuously monitor data quality, identify performance bottlenecks, and optimize data flows for efficient and reliable data delivery.
Design and architect end-to-end data solutions, ensuring alignment with business objectives and technical constraints.
Collaborate with stakeholders across the organization to define and articulate data strategy and objectives aligned with business goals.
Work closely with data engineers, business intelligence engineers, and stakeholders to ensure seamless collaboration and alignment across the data ecosystem.
Provide guidance, mentorship, and knowledge transfer to cross-functional teams on data architecture best practices and emerging technologies.
Selection Criteria
Master's degree in computer science, Statistics, Applied Mathematics, Data Science, or Machine Learning with at least 5 years of experience or equivalent combination of education and experience.
Hands-on experience in designing, building, and optimizing data pipelines.
Proficiency in Azure data services such as Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL database
Strong programming skills in Python, scala
Expertise in relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres, etc.) environments.
In-depth knowledge of data architecture principles and best practices, including data modeling, data warehousing, data lakes, and data integration.
Proficiency in data modeling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta lakes.
Experience in end-to-end architecture design and deployment of Azure data science environments using Azure ML, ML Flow, Synapse analytics, Azure OpenAI services, Cognitive services, and Azure Databricks.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Proficiency in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
SAFe experience and the ability to work on cross-functional, self-organizing development teams.
World Bank Group Core Competencies
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC, including our values and inspiring stories.
Job #:
req32817
Organization:
IFC
Sector:
Information Technology
Grade:
GF
Term Duration:
3 years 0 months
Recruitment Type:
International Recruitment
Location:
Washington, DC,United States
Required Language(s):
English
Preferred Language(s):
Closing Date:
4/30/2025 (MM/DD/YYYY) at 11:59pm UTC
Description
IFC - a member of the World Bank Group - is the largest global development institution focused on the private sector in emerging markets. We work in more than 100 countries, using our capital, expertise, and influence to create markets and opportunities. Our mission is to leverage the power of the private sector to end extreme poverty and boost shared prosperity on a livable planet. For more information, please visit
Information Technology is an integral part of the strategic initiatives for all the core business functions at IFC. Within Corporate Information and Technologies (CIT), Data Engineering, AI, and Platforms (CITDE) organization provides comprehensive data and analytics support for IFC's various organizations, such as Economics & Private Sector Developments, Global Industries, Climate Business, Treasury and Mobilization, and many more. A robust engagement model with business ensures prioritization of the business requirements & focus on delivery. The solution landscape encompasses a wide variety of in-house and customized data applications, AI/ML solutions, and scaling capabilities that meet the business needs of IFC departments.
Data Engineering & Platforms (CITDE) is seeking a Data Engineer with expertise in migrating transactional database systems to Microsoft Azure Cloud Platform. You will understand technical requirements and assist in designing, planning, managing, and troubleshooting the data migration process and data pipelines. In addition to creating and maintaining an optimal pipeline architecture, this role is responsible for identifying, designing, and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. Building required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition. Working with stakeholders, including data, design, product, and executive teams, and assisting them with data-related technical issues. Lastly, working with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs while assisting with data-related technical issues.
Duties and Accountabilities
Design standardized data architecture and best practices to support batch ingestion, real-time and near real-time integration and ETL, data quality rules, and structuring data for analytic consumption by end users.
Lead the design and development of modern data solutions leveraging Azure Logic Apps, Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse, and Databricks.
Conduct enterprise-wide data discovery and profiling to understand existing data sources, structures, and dependencies.
Architect secure and efficient data integration pipelines for ingesting, transforming, and loading data from various source systems.
Ensure data lineage and traceability across the organization's data ecosystem.
Implement data security measures and data operations metrics, access controls, and authentication mechanisms to protect sensitive data and ensure compliance.
Develop and implement data retention, archiving, disaster recovery, and business continuity policies and plans.
Continuously monitor data quality, identify performance bottlenecks, and optimize data flows for efficient and reliable data delivery.
Design and architect end-to-end data solutions, ensuring alignment with business objectives and technical constraints.
Collaborate with stakeholders across the organization to define and articulate data strategy and objectives aligned with business goals.
Work closely with data engineers, business intelligence engineers, and stakeholders to ensure seamless collaboration and alignment across the data ecosystem.
Provide guidance, mentorship, and knowledge transfer to cross-functional teams on data architecture best practices and emerging technologies.
Selection Criteria
Master's degree in computer science, Statistics, Applied Mathematics, Data Science, or Machine Learning with at least 5 years of experience or equivalent combination of education and experience.
Hands-on experience in designing, building, and optimizing data pipelines.
Proficiency in Azure data services such as Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL database
Strong programming skills in Python, scala
Expertise in relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres, etc.) environments.
In-depth knowledge of data architecture principles and best practices, including data modeling, data warehousing, data lakes, and data integration.
Proficiency in data modeling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta lakes.
Experience in end-to-end architecture design and deployment of Azure data science environments using Azure ML, ML Flow, Synapse analytics, Azure OpenAI services, Cognitive services, and Azure Databricks.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Proficiency in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
SAFe experience and the ability to work on cross-functional, self-organizing development teams.
World Bank Group Core Competencies
The World Bank Group offers comprehensive benefits, including a retirement plan; medical, life and disability insurance; and paid leave, including parental leave, as well as reasonable accommodations for individuals with disabilities.
We are proud to be an equal opportunity and inclusive employer with a dedicated and committed workforce, and do not discriminate based on gender, gender identity, religion, race, ethnicity, sexual orientation, or disability.
Learn more about working at the World Bank and IFC, including our values and inspiring stories.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
