You will play a key role in designing and deploying the data infrastructure supporting Kolomolo’s modernization stack
Your work will focus on building Terraform-based AWS deployments, ensuring smooth data ingestion, transformation, enrichment, and validation
Designing and implementing Infrastructure as Code (IaC) using Terraform for AWS services
Building data processing pipelines and automating workflows for ingestion, transformation, and validation
Handling data enrichment and data integrity checks across multiple formats (e.g., Parquet, JSON, CSV)
Integrating data intake from relational databases (SQL, PostgreSQL, etc.) and graph-based data sources (e.g., Neo4j, Amazon Neptune)
Developing and maintaining Python-based data orchestration tools and scripts
Working with containerized environments (Docker, Kubernetes) to enable scalable deployments
Supporting continuous improvement and optimization of cloud infrastructure performance and cost

Proven experience as a Data Engineer or Cloud Engineer in AWS environments
Strong knowledge of Terraform and IaC practices
Hands-on experience with AWS core services (S3, Lambda, Glue, ECS/EKS, Redshift, etc.)
Proficiency in Python for automation, scripting, and data workflows
Understanding of ETL/ELT processes, data enrichment, and validation frameworks
Experience working with containerization tools (Docker, Kubernetes)
Familiarity with multiple data formats, including Parquet
Exposure to both relational and graph data models
Good communication skills and experience collaborating in Agile/Scrum teams
Experience with Databricks, Snowflake, or data lake architectures
Knowledge of monitoring and observability tools (e.g., CloudWatch, Grafana, Prometheus)
Experience with CI/CD pipelines for data workflows

Cloud Data Engineer – AWS, Terraform, Python

Key skills