Data Engineer
Indexed description
Role Purpose:
Build scalable data pipelines and ensure curated, high-quality cyber data is available for analytics.
Must have worked in the Insurance domain or with top Tier 1 companies.
Key Responsibilities
- Build ingestion pipelines (logs, network data, security tools)
- Develop ETL/ELT pipelines using Databricks & Spark
- Implement Delta Lake (Bronze–Silver–Gold layers)
- Optimise performance and cost (partitioning, caching)
- Ensure data quality, lineage, and reliability
Required Skills
- Strong PySpark / Spark SQL
- Databricks ecosystem (Delta Lake, Jobs, Workflows)
- Experience with streaming (Kafka / Event Hub)
- Cloud expertise (AWS preferred – S3, IAM, Glue)
Key Deliverables
- Data ingestion pipelines
- Curated cyber datasets
- Optimised lakehouse architecture
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search