Data Engineer at uLesson Education Limited

uLesson is a venture-backed education technology business whose mission is to enable African learners to reach their maximum potential by making high-quality digital education services widely accessible. Our app hosts thousands of educational video tutorials that combine quality lessons delivered by experts in education, with digital animations and illustrations to explain key concepts; thereby, providing students with an unprecedented learning experience in its richness, scope, interactivity, and effectiveness.

We currently provide students between the grades of 1 and 12 with access to high-quality, curriculum-relevant, animated video lessons. At the moment, our uLesson App has been downloaded over 2 million times and we’ve been featured by credible media houses like CNN, Venturebum, Techcrunch, Quartz, and Business insider.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Abuja

Job Description

• We are looking for an experienced Data Engineer to join our growing team of analytics experts.
• You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. 
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 
• The Data Engineer will support the data team and our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Roles and Responsibilities

• Build data pipelines that clean, transform and aggregate data from different sources.
• Create and maintain optimal data pipeline architectures.
• Develop models to be used to make predictions and answer questions for the overall business
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Work with the team to build complex algorithms that provide unique insights into the Company’s data.
• Use agile software development processes to iteratively make improvements to the Company’s end systems.
• Model front-end and back-end data sources to develop a comprehensive picture of user flows that enables impactful data analysis.
• Optimize existing infrastructure for extraction, transformation, and loading of data from various data sources using SQL and Google BigQuery.
• Prepare data for prescriptive and predictive modelling.
• Identify, design, and implement internal process improvements: automating manual processes, and optimizing data delivery for greater scalability.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Collaborate with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Requirements

• Degree in Computer Science, Information Technology, Engineering or other relevant fields.
• Masters Degree in Statistics, Applied Math, or related disciplines or fields is an advantage.
• Minimum of 3 years previous experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Experience with object-oriented/object function scripting languages (e.g., Java and Python).
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience using Google Cloud Platform or other similar cloud services.
• Experience working with data ETL tools and processes, DBT and Fivetran experience is a plus.
• Communication skills, especially explaining technical concepts to non-technical stakeholders
• Strong analytic skills related to working with unstructured datasets.
• Comfortable working in a dynamic environment with a research-oriented team working on concurrent projects.

Salary
N500,000 - N650,000 / Month

Application Closing Date
Not Specified.