About Palladium – Palladium is a global leader in the design, development and delivery of Positive Impact – the intentional creation of enduring social and economic value. We work with governments, businesses, and investors to solve the world’s most pressing challenges. With a team of more than 3,000 employees operating in 90 plus countries and a global network of over 35,000 experts, we help improve economies, societies and, most importantly, people’s lives.
Diversity, Equity & Inclusion – We welcome applications from all sections of society and actively encourage diversity to drive innovation, creativity, success and good practice. We positively welcome and seek to ensure we achieve diversity in our workforce; and that all job applicants and employees receive equal and fair treatment regardless of their background or personal characteristics. These include: (but are not limited to) socio-economic background, age, race, gender identity, religion, ethnicity, sexual orientation, disability, nationality, veteran, marital or Indigenous status.
Our company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
Should you require any adjustments or accommodations to be made due to a disability or you are a neurodivergent individual or any other circumstance, please email our team at [email protected]
Safeguarding – We define Safeguarding as “the preventative action taken by Palladium to protect our people, clients and the communities we work with from harm”. We are committed to ensuring that all children and adults who come into contact with Palladium are treated with respect and are free from abuse. All successful candidates will be subject to an enhanced selection process including safeguarding-focused interviews and a rigorous due diligence process.
You and Your Career – If you are a problem-solver, collaborator, and doer, and you have expertise in health informatics, M&E, data analytics, visualization and data use, we are interested in hearing from you.
We are a learning organization and provide growth opportunities from the start. We pride ourselves on giving you the freedom, resources, and guidance to chart a fulfilling career!
Project Overview And Role
Data.FI is a multi-year global project funded by the U.S. Agency for International Development (USAID) to support the HIV and COVID-19 response. Data.FI partners with programs to accelerate and sustain access to high-quality data to expedite HIV and COVID-19 epidemic control and maintenance. By improving global, regional, national, and community/local in-depth analyses of HIV and COVID-19 epidemiologic and programmatic data, Data.FI expedites program achievements to improve client services and attain and sustain control of the epidemics. Data.FI supports host country governments to enhance existing health information systems (HIS), informing management responses to gaps in programming and sustaining impact by supporting local partner transition.
Purpose of Position
Palladium is seeking to recruit a skilled Data engineer intern is responsible for the execution of developing APIs to connect data, developing ETLs, data ingestion, mapping, deduplication, data modelling, data analysis, and reporting tasks in line with work plan and team objectives, develops specific data products and solutions assigned in adherence to the business and functional requirements, quality and timelines set, works closely with a team of individuals from data use, data visualization, project management, software development, quality assurance, business analysts and solutions architects.
The Data engineer intern will report to the supervisor and work in collaboration with the Data Use and Analytics, and the Business Analytics team.
Location: Abuja
Primary Duties And Responsibilities
- Work with the engineering team to identify and implement the most optimal cloud-based solutions
- Responsible for the quality of data across the core systems and respective data marts.
- Support data modelling and data mart development.
- Synthesis of requirements, identification and analysis of data sources for mapping and performing data quality tests to support source system mapping exercise.
- Define and arbitrate the transformation rules per source system and develop ETLs to populate respective data marts.
- Perform data profiling functions and interrogation queries against source systems and verify data marts after ETL processes.
- Work closely with the data use teams in developing data products for the larger stakeholder groups.
- Align with QA approaches established within the software development process to resolve data quality, inconsistency and integrity issues.
- Maintain data dictionaries/metadata of the source systems and respective data marts.
Required Qualifications
- BSc. in Computer Science or a related field, or equivalent experience.
- At least 1 years’ experience developing digital information systems.
- Familiarity with open-source global goods, including demonstrated experience using DHIS2.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Proven working experience with Microsoft SQL Server or PostgreSQL
- Experience in NoSQL databases is an added advantage.
- Proven experience developing web applications.
- Demonstrated proficiency of languages such as R, Python etc.
- Experience in implementing a data warehouse is an added advantage.
- Ability to take direction to iteratively define and implement the solution as requirements are being identified and finalized.
- Demonstrated experience in working within a multi-disciplinary team in a fast fast-paced, technically challenging environment.
- Ability to work in a fast paced, agile development environment.
- Excellent communication skills and attention to detail.
- Good problem-solving skills, with an ability to see and solve issues before they affect business productivity.
- Good analytical and conceptual thinking skills.
- Excellent documentation skills.
