• Application Deadline: Fri, 4 Nov 2022 00:00:00 GMT
• Position: Senior Data Engineer


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience 5 years


• Location Lagos


• Job Field ICT / Computer 
  

Job Summary

• We are looking for for a Senior Data Engineer who will be responsible in extracting value from our data and creating artificial intelligence products.


• You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

Responsibilities

• Create and maintain optimal data pipeline architecture,


• Assemble large, complex data sets that meet functional / non-functional business requirements.


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


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


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


• 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 our data separated and secure across national boundaries through multiple data centers and AWS regions.


• Create data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.


• Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

• A Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.


• 5+ years’ experience working as a Data Engineer


• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.


• Experience building and optimising ‘big data’ data pipelines, architectures and data sets.


• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.


• Strong analytic skills related to working with unstructured datasets.


• Build processes supporting data transformation, data structures, metadata, dependency and workload management.


• A successful history of manipulating, processing and extracting value from large disconnected datasets.


• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.


• Strong project management and organisational skills.


• Experience supporting and working with cross-functional teams in a dynamic environment.

They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.


• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.


• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.


• Experience with AWS cloud services: EC2, EMR, RDS, Redshift


• Experience with stream-processing systems: Storm, Spark-Streaming, etc.


• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Salary

N1,000,000 - N1,200,000 / month.