{"id":34494,"date":"2018-11-22T08:32:01","date_gmt":"2018-11-22T08:32:01","guid":{"rendered":"https:\/\/joblistghana.com\/?p=34494"},"modified":"2018-11-22T08:32:01","modified_gmt":"2018-11-22T08:32:01","slug":"ongoing-recruitment-at-peg-africa-2018","status":"publish","type":"post","link":"https:\/\/joblistghana.com\/ongoing-recruitment-at-peg-africa-2018.html","title":{"rendered":"Ongoing Recruitment At Peg Africa 2018"},"content":{"rendered":"

PEG delivers Pay-As-You-Go (PAYG) asset-based financing to consumers who lack both access to reliable electricity and formal banking services. PEG\u2019s anchor product \u2013 a basic solar home system that includes three lights, a phone charger and a radio \u2013 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.<\/p>\n

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 \u201cfastest growing companies in Africa\u201d by the London Stock Exchange.<\/p>\n

Job Description<\/strong><\/p>\n

Job Title:\u00a0Data Engineer<\/strong><\/p>\n

The Position:<\/strong><\/p>\n

Are you excited working for a startup that is a social enterprise creating Impact on local communities?<\/p>\n

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<\/p>\n

About the Role:<\/strong><\/p>\n

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.<\/p>\n

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.<\/p>\n

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.<\/p>\n

The ideal candidate needs to possess exceptional technical expertise in Python and have hands-on knowledge on SQL.<\/p>\n

Basic requirements<\/strong><\/p>\n