Data Engineer building and maintaining data infrastructure at Kuunda for Africa’s embedded finance ecosystem. Designing secure and scalable data pipelines on AWS for intelligent decision-making.
Responsibilities
Design, build, and maintain scalable and secure ETL/ELT pipelines across Redshift, S3
Develop and manage AWS Glue jobs for automation, transformation, and catalog management
Implement Apache Airflow workflows for data orchestration and monitoring of cross-market processes
Optimize data ingestion and transformation performance using AWS-native tools and Redshift best practices
Architect and maintain VPCs, subnets, security groups, and gateways to secure data movement between AWS services
Apply AWS best practices for IAM policies, encryption, and secure access management
Integrate data from external partners into the centralized warehouse
Develop CI/CD pipelines in GitLab for automated deployment of data jobs, schema changes, and tests
Work with analysts and data scientists to prepare structured datasets for reporting, modeling, and insights
Requirements
Bachelor’s degree in Computer Science, Data Engineering, or related field
3+ years of experience in data engineering or data infrastructure
AWS Certified Solutions Architect or Similar (VPC setup, S3, Glue, Redshift, IAM, Lambda, Gateway, CloudWatch)
Advanced proficiency in SQL and Python for data transformation and automation
Experience with GitLab for version control and CI/CD automation
Familiarity with Apache Airflow (DAG creation, scheduling, and monitoring)
Benefits
Competitive salary and performance-based bonus
Professional development and career growth opportunities
Flexible work arrangements and an inclusive culture
An exciting environment at the forefront of fintech innovation
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