Growth in Value Alliance (GVA) Partners Limited – Our client in the Banking Industry is currently recruiting suitably qualified candidates to fill the position below:

Job Title: Data Engineer

Location: Victoria Island, Lagos
Employment Type: Full-time

Job Summary

• Our client requires the service of a qualified Data Engineer who will be responsible for constructing and maintaining architecture.
• The successful candidate will develop data set processes for data modelling, mining, and production Employ a variety of languages and tools (e.g., scripting languages) to marry systems together, recommend ways to improve data reliability, efficiency, and quality also perform other duties as assigned by the Team Lead, Data Engineering.

Responsibilities

• Extending company’s data with third party sources of information when needed
• Processing, cleansing, and verifying the integrity of data used for analysis
• Develop, construct, test and maintain architectures (such as database and large-scale processing systems)
• Ensure architecture will support the requirements of the business
• Discover opportunities for data acquisition

Keys Qualifications and Skills

• Strong STEM background – Bachelor’s Degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
• 2-6 years working experience as a data engineer or business data analyst, preferably in the financial services industry
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages
• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Good knowledge of infrastructure and capacity sizing
• Technical expertise around design and flow of data from system to system without loss
• Use of ETL tool like SSIS, ODI etc
• Design of master data and data lake
• Proficient in office automation tools (e.g. Microsoft Office, etc)
• Proficient in SQL

Application Closing Date
25th July, 2022.