Data Engineer at Konga Nigeria

Konga - We are Nigeria’s largest online mall and have been in operation for over 7 years. Some of our major feats are winning Great Place to work awards two years in a row, winning an award for The Place Most Millennials would like to work and according to Forbes in 2015, 2nd Most Innovative Company in Africa.

Our culture and values, in a nutshell, speak to placing our customers as a priority, working hard, being passionate about what we do (and having fun in the process!) and teamwork. Our Company is full of ordinary people with extraordinary minds who desire to do extraordinary things! Konga is a leading player in the Nigerian ecommerce space, with over a thousand (1000) employees across the country, over 30 offline retail stores and many growing business subsidiaries such as KongaPay, Konga Travels and Tours, Konga Express etc.

We are recruiting to fill the position below:

Job Title: Data Engineer

Location: Lagos
Type: Full Time
Job Category: Mid Officer Level
Reports to: Team Lead, Data Engineer

Job Profile

• We are searching for a talented and smart individual with a passion for the Ecommerce space to function in the capacity of a Data Engineer.
• The ideal candidate should be responsible for turning data into information, information into insight and use insight to help enable business decisions.
• The ideal candidate will also be responsible for monitoring the business performance and quality control plans to identify improvements.

Job Responsibilities

• Interpreting data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Build pipelines in with Azure Data Factory and Synapse Pipelines for ETL, ELT, and ELTL orchestration.
• Design and implement Data Warehouse in Azure Synapse Analytics.
• UsePySpark for Data Orchestration.
• Interpreting data, analyze results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Designing and Implementing Machine Learning Models to aid business decision making and performance.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.
• Monitoring business performance.
• Communicating key project data to team members and building cohesion among teams.
• Developing and executing project plans.

Job Requirements

• A Bachelor's Degree in Mathematics, Computer Science, Information Management or Statistics, or any other related field will be an added advantage
• Excellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate)
• Proficiency in software engineering tools
• 2 to 4 years proven working experience as a data analyst or business data analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge of and experience with reporting solutions (Power BI, Qlikview etc.), databases (SQL etc.), and ETL.
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.).
• Strong written and verbal communication and interpersonal skills.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at queries, report writing and presenting findings.

Why Work With Konga?

• A unique opportunity to work in a fast paced, structured and technologically driven environment
• The opportunity to become part of a highly professional and dynamic team growing the ecommerce space in Nigeria
• An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders for our fast growing businesses.

Application Closing Date
19th January, 2022.

Method of Application
Interested and qualified candidates should forward their CV to: [email protected] using "Data Engineer" as the subject of the email.

Note: All CVs should be in word doc and/or pdf formats.