DevOps and data Engineer
Waya Bank
About the role
Company Description
WayaBank is a fintech company that aims to simplify financial services and make them accessible, affordable, and reliable for every African worldwide. We disrupt traditional banking and finance systems by providing an ecosystem that serves both personal and business banking needs, online and offline payment collection, and agency banking. Our goal is to ensure instant settlement of collections and transfers while prioritizing customer satisfaction.
Role Description
This is a full-time Hybrid role for a DevOps and Data Engineer at Waya Bank. The DevOps and Data Engineer will be responsible for day-to-day tasks related to the management of the cloud infrastructure, cicd pipeline, repositories, jenkins, Kubbernettes, AWS, deployment, devops security, pci dss certifications , data engineering, data modeling, ETL processes, data warehousing, and data analytics. The role will involve working closely with the development team and stakeholders to ensure efficient and reliable data management and analysis.
It is a Hybrid role: Once a week in the office while the rest days remote.
Qualifications
- Devops
- AWS certified
- Automation of pipelines
- kubernettes
- Jenkins
- infrastructure as a code
- Data Engineering, Data Modeling, ETL skills
- Data Warehousing and Data Analytics skills
- Experience in building and maintaining data pipelines
- Proficiency in programming languages such as Python or Java
- Strong understanding of database technologies and SQL
- Experience with cloud platforms and services such as AWS or Azure
- Knowledge of DevOps practices and tools
- Excellent problem-solving and communication skills
- Ability to work independently and remotely
- Experience in the fintech or banking industry is a plus
- Bachelor's degree in Computer Science, Data Science, or a related field
Requirements
- Devops
- AWS certified
- Automation of pipelines
- Kubernettes
- Jenkins
- Infrastructure as a code
- Data Engineering, Data Modeling, ETL skills
- Data Warehousing and Data Analytics skills
- Experience in building and maintaining data pipelines
- Proficiency in programming languages such as Python or Java
- Strong understanding of database technologies and SQL
- Experience with cloud platforms and services such as AWS or Azure
- Knowledge of DevOps practices and tools
- Excellent problem-solving and communication skills
- Ability to work independently and remotely
Responsibilities
- Management of the cloud infrastructure
- Management of the cicd pipeline
- Management of repositories
- Management of jenkins
- Management of Kubbernetes
- Management of AWS
- Management of deployment
- Management of devops security
- Management of pci dss certifications
- Data engineering
- Data modeling
- ETL processes
- Data warehousing
- Data analytics
Skills
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