Data Engineer
mcafee
Job Description
- Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
- Drive and optimize data insights and solutions leveraging AI.
- Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
- Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
- Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
- Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).
About You
- You should have 7 to10 years of Data Engineering experience and 1+ year of hands-on AI/ML experience.
- Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.
- Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).
- Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.
- Experience in API development (REST, GraphQL) and real-time systems.
- Cybersecurity platform knowledge and MCP implementation experience.
- Critical thinking skills to evaluate trade‑offs, solve complex data problems.