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 $20 million and has 200 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 Engineer
Are you excited working for a startup that is a social enterprise creating Impact on local communities?
Are you curious about using data to drive social good and help businesses make decisions based on this data. Then you are the person we are looking for
About the Role:
We are seeking a talented, self-directed Data Engineer to design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for our business.
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata.
The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics.
The ideal candidate needs to possess exceptional technical expertise in Python and have hands-on knowledge on SQL.
Bachelor’s degree in Computer Science, Computer Engineering, Business Administration, Mathematics or a related field.
3+ years of industry experience as a Data Engineer or related specialty (e.g., Business Intelligence Engineer, Data Scientist)
Experience in data modeling, ETL development, and Data warehousing.
Demonstrated collaborative skills
Big picture thinker
Demonstrated pragmatism and innovation
Avid learner, constantly keeping up to date with technology advances
Demonstrated experience in the Data domain, specifically related to application development and transactional data.
Advanced Academic qualification
Project management; Waterfall and Agile
Required Technical Expertise
Knowledge of state-of-the-art startup-style software development methods: Github, StackOverflow, JIRA, Confluence, etc
Experience with Python and associated tools & resources
Experience with Jupyter notebooks
Domain expertise in traditional Database technology. Integration, Relational DBM’s, Data Warehouse.
Domain expertise in a SQL RDBMS [hands on experience]
Comprehensive understanding Relational SQL
Data distribution concepts (Bulk data and real time)
Maintenance of Data Quality
Working with Linux
Analytical functions over integrated data sets. Predictive and reflective analytics, familiar with statistics and correlations.
Demonstrated ability to present proposals to senior technical and non-technical members
Interact with external clients and develop an understanding of their strategic data needs
Collaborate with our data analysts & engineers on to build and deploy algorithms on the platform.
Help develop training data tools for the platform.
Develop prototypes and tools, with focus on simplicity & ease of use.
Work in a collaborate team environment, co-designing and co-implementing key applications & components.
Work with clients to provide data solutions including; data integration, Reflective and predictive analytics, data import, data access and data visualization.
Build and deliver high quality datasets to support business analysis and customer reporting needs.
Interface with business customers, gathering requirements and delivering complete data structures.
Act as thought leader for PEG Africa in the data domain
Architect solutions meeting client needs and requirements