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Specialized streaming skills and seniority reduce applicants, but remote role increases applicant pool.
Core streaming and data platform skills are broadly transferable across industries.
Mandatory 8+ years plus specific streaming, cloud, infra, and data platform skills create strict technical filters.
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Design, build, and scale enterprise-grade data streaming and integration platforms using technologies like Kafka, Striim, and cloud data warehouses.
Lead technical design, architecture reviews, and enforce best practices for cloud-based data engineering solutions.
Own incident escalation and platform performance optimization while mentoring engineers and driving CI/CD and automation adoption.
Bachelor's degree in Computer Science or equivalent experience.
8+ years of experience in software or data engineering with technical leadership responsibilities.
Hands-on experience with large-scale data platforms, including Kafka, Oracle, PostgreSQL, Redshift, Snowflake.
Familiarity with CI/CD, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, Ansible).
Experienced in leading complex data streaming and integration initiatives within cloud environments.
Strong operational ownership demonstrated by troubleshooting production issues and improving system resilience.
Technical mentor capable of guiding data engineering teams and promoting engineering best practices.