Posted on :
22 Nov, 2018
22 Nov, 2018
PEG delivers Pay-As-You-Go (PAYG) asset-based financing to consumers who lack both access to reliable electricity and formal banking services. PEG’s anchor product – a basic solar home system that includes three lights, a phone charger and a radio – allows consumers living on $5-10 per day to access clean light for working and studying after hours, avoid harmful air pollution from kerosene based lighting solutions, and also build credit for additional products and services over time.
To date, PEG has over $21 million and has 400 full time staff across Ghana and Ivory Coast. PEG has also won numerous awards, including the prestigious 2017 Ashden International Award for excellence in sustainable energy, and has been named as one of the “fastest growing companies in Africa” by the London Stock Exchange.
Job Title: Data Warehouse and Data Architectural Specialist
We are looking for a Data Ware-house (DW) Developer that can help us build a DW that will centrally host all our data and enable the business to easily prepare its report, as well as carry out in depth analysis that help in making business-based decisions.
Big picture thinker
Able to provide strategic input and execute / operationalise.
Demonstrated collaborative skills
Demonstrated pragmatism and innovation
Avid learner, constantly keeping up to date with technology advances
Demonstrated experience in the Data domain
Project management; Waterfall and Agile
Required Technical Expertise
A Bachelor’s Degree in Computer Science, Management Information Systems, Computer Engineering or an equivalent qualification.
5-10 years’ experience in Data warehousing, Extract, Transform and Load (ETL) development, Business Intelligence dashboard designs.
Creating and designing dimensional data models.
Cloud warehousing experience.
Programming experience (Python, Java, PhP)
Experienced in doing SQL queries
Continuous improvement knowledge and skill.
Continued learning and/or professional development knowledge and skill.
Information technology (IT) enablement strategy and planning knowledge skill.
Extensive knowledge of Business Intelligence and Analytics Software such as Micro Strategy, Pyramid, OBIEE, Microsoft Power BI and Qlikview.
Extensive knowledge in ETL development and maintenance.
Proven experience developing cubes, multi-dimensional models, tabular, data-marts, data-warehouses etc.
Support the various PEG business functional areas like data extraction, new variable creation and data.
Develop and prepare schedule for a new DW.
Prepare plans for all ETL procedures and architectures.
Analyze large databases and recommend appropriate optimization for same.
Design data models and define both logical and physical models.
Administer all requirements and design various functional specifications for data.
Monitor DW work and provide subject matter expertise.
Provide training to all employees of development team.
Coordinate with external clients and participate in various technical meetings.
Design and implement various unit tests on system and prepare test data.
Map data between source systems, data warehouses, and data marts.
Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
Provide or coordinate troubleshooting support for data warehouses.
Conduct against best practices, assessments (Data Quality) on data collection and storage within the company.
Define and develop methods, techniques and criteria for data warehousing.
Plan, coordinate, design and establish the DW to ensure effective management of data in the company
Implement and maintain the DW in support of business intelligence and analytics for the company.
Develop and maintain standards, processes and guidelines for the design of DW elements to ensure a consistent, well managed and well-integrated secure data warehouse.
Think creatively: PEG is a place that is permanently pushing the boundaries within its industry. We are not looking for someone that will just estimate models, write analyses and code. We want someone that will extract insights and provide business recommendations.
Generate Impact: We want someone obsessed with impact. We don’t want a person who is just interested in finding patterns in the data. We want someone that understands how to turn those discoveries into value for our customers and our internal teams every day.