• Application Deadline:
• Position: Senior Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 5 - 7 years


• Location Lagos


• Job Field Data Science / Research 
  

Responsibilities

• Define the data lifecycle, including data models and data sources for analytics platforms


• Create and maintain an optimal data pipeline and architecture


• Build analytics tools and conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance


• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and more


• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies


• Perform aggregations on data across various warehousing models


• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs


• Keep data secure and work closely with database teams on topics related to data requirements, cleanliness, accuracy, and others

Qualifications

• Bachelor’s or equivalent Degree in Computer Science or another related field


• 5-7 years of direct experience in a statistical and/or data science role


• Experience working with large data sets, simulation/ optimization, and distributed computing tools


• Hands-on knowledge of data extraction and transformation tools - traditional ETL tools (Informatica, Alteryx) as well as the latest big data tools


• Experience working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)


• Extensive experience with R and/or SAS. Knowledge of other statistical software like SPSS, RapidMiner, and others is a plus


• Knowledge of data architecture and experience defining data retention policies, monitoring performance, and advising any necessary infrastructure changes


• Comfortability with developing dashboards (Tableau, Power Bi, Qlik, etc.) and data analytics models (R, Python, Spark)


• Strong analytical, communication, and problem-solving skills


• Professional fluency in English is vital, both written and spoken