About the role
About the Role:
We are a fast-growing technology company building scalable, data-driven solutions across multiple domains. Our teams leverage modern pipelines, cloud-native infrastructure, and advanced analytics to deliver reliable, high-quality data at scale.
We’re seeking a Data Engineer to design, build, and operate end-to-end data pipelines and platforms. You will collaborate with analytics, ML, and product teams to ingest, transform, and serve data that powers dashboards, reporting, and AI/ML workflows.
What You'll Do At CYBLE:
Pipeline Development:
- Architect and implement ETL/ELT workflows using tools like Apache Airflow, dbt, or equivalent
- Build batch and streaming pipelines with Kafka, Spark, Beam, or similar frameworks
- Ensure reliable ingestion from diverse sources (APIs, databases, logs, message queues)
Data Modeling & Warehousing:
- Design, optimize, and maintain star schemas, data vaults, and dimensional models
- Work with cloud warehouses (Snowflake, BigQuery, Redshift) or on-premise systems
Data Quality & Governance:
- Implement validation, profiling, and monitoring to ensure data accuracy and completeness
- Enforce data lineage, schema evolution, and versioning best practices
Platform Operations:
- Containerize and deploy pipelines via Docker/Kubernetes or managed services
- Build CI/CD for data workflows and maintain observability (Prometheus, Grafana, ELK, DataDog)
- Optimize performance and cost of storage, compute, and network resources
