• Application Deadline:
• Position: Medior Data Engineer


• Job Type Full Time , Remote


• Qualification BA/BSc/HND


• Experience 4 years


• Location Nigeria


• Job Field ICT / Computer 
  

RESPONSIBILITIES

• Implement DevOps practices, CI/CD pipelines, and Infrastructure as Code for efficient and automated data workflows. 
  
  
  
  • Preferred; Terraform (1.5 years of experience)
  
  
  • Github Workflows
  
  
  • Cloud Native CI/CD pipelines
  
  
  
  


• AWS (Codepipeline, Codebuild and Codecommit).


• Working with or building production-grade end-to-end data platforms.
  
  
  
  • Architecting scalable and maintainable cloud infrastructure, with specific emphasis on the data domain.
  
  
  • Technical implementation and deployment of architected cloud infrastructure.
  
  
  • Follow software development standards and best practices, including Test Driven Development (TDD), Keep it simple, stupid (KISS), you aren't gonna need it (YAGNI), and don't repeat yourself (DRY).
  
  
  
  


• Apply data warehousing concepts and data warehouse modelling techniques to design and optimise data solutions.


• Work with cloud data warehouse solutions such as Redshift, BigQuery, or Snowflake to build scalable and performant data solutions.


• Utilise data flow orchestration tools such as Apache Airflow to schedule and manage data workflows.


• Leverage distributed computing and container orchestration technologies like Kubernetes for efficient and scalable data processing.


• Explore and implement data streaming solutions like Kafka for real-time data processing.


• Design and develop microservices and event-driven architecture for efficient data integration and processing.


• Core knowledge of Data Engineering frameworks such as Spark, Kafka, and Airflow is a plus


• Attention to detail


• Leadership skills

REQUIREMENTS AND SKILLS

• Bachelor's degree in computer science, an engineering discipline, or a related field.


• Minimum of 4 years of professional IT industry experience.


• Minimum of 4 years of software engineering experience.


• Minimum of 2 years of cloud computing experience, preferably with AWS.


• Proficiency in ETL development using Python and SQL.


• Minimum of 1.5 with DevOps, CI/CD, and Infrastructure as Code.


• Preferred Terraform.


• Good understanding of software development standards and best practices.


• Knowledge of data warehousing concepts and data warehouse modelling.


• Experience working with at least one Cloud Data Warehouse Solution such as Redshift, BigQuery, or Snowflake.


• Experience with data flow orchestration tools such as Apache Airflow is a plus.


• Experience with distributed computing and container orchestration (Kubernetes) is a plus.


• Experience with data streaming solutions such as Kafka is a plus.


• Experience with microservices and event-driven architecture is a plus.

SOFT SKILLS

• Excellent understanding of Agile Methodology and experience with Scrum rituals.


• Ability to work independently, think proactively, and pay attention to details, while providing technical leadership to a team.


• Demonstrated experience in leading data engineering projects from conception to finished product, and ability to drive technical decisions.


• Adaptability to a fast-paced technical environment, with a strong sense of urgency and ability to meet tight deadlines.


• Energetic, motivated, and a team player, with excellent communication skills in English (both written and spoken).


• Ability to effectively communicate and collaborate with cross-functional teams and business stakeholders.


• Ability to communicate effectively with cross-functional teams and business stakeholders