Das ist der Job
The ideal candidate has hands‑on experience with AWS Managed Kafka (MSK), data migration, and integration patterns.
Darum lohnt es sich
Job Title: Data Access Layer Data Engineer (Mid-Level) – Managed Kafka Job Category: ScienceTime Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local The Opportunity CACI is seeking a skilled Data Engineer (Mid-Level) to support a modernization effort within a mission critical customer environment.
This position will contribute to the design and implementation of the data layer, enabling secure, scalable integration between databases utilizing managed Kafka (AWS MSK) event streaming for data exchange orchestration. The engineer will assist in designing and exposing APIs to support business needs.
Responsibilities Support data layer development and implementation, collaborating with senior architect, system engineers, and data modeler to build efficient data structures for transaction processing and reporting. Implement data exchanges between database systems such as Oracle and PostgreSQL, using tools like AWS DMS.
Design and implement migration through event streaming patterns utilizing AWS MSK (Managed Kafka). Assist in transformation functionality using cloud‑native AWS services and integration utilities. Analyze legacy stored procedures, triggers, constraints, and data dependencies to inform migration strategy.
Support incremental migration and soft cutover strategies
