• Application Deadline:
• Position: Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 5 - 7 years


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Role Summary

• You will connect and model complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies


• Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services

Key Responsibilities

• Define data lifecycle, including data models and data sources for analytics platform, gathering data from business and clean the data


• Create and maintain optimal data pipeline architecture


• Conducts 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, etc.


• 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


• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics


• Performs aggregations on data across various warehousing models


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


• Keep data secure


• Create data tools for analytics and data scientist team members


• Works closely with database teams on topics related to data requirements,cleanliness, accuracy etc.

Requirements

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


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


• Practical knowledge across data extraction and transformation tools - traditional ETL tools (Informatica, Altryx)as well as more recent big data tools


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


• Experience Proficiency in R and/or SAS; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) helpful


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


• Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)


• Solid business and collaboration skills, and responsive to service needs and operational demand.