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Strong employer brand, mid-level experience band, metro location, and broad GCP/data/fullstack skillset elevate competition.
Core data engineering and cloud skills are easily transferable across industries despite supply-chain domain preference.
Explicit 5–8 year requirement plus many mandatory GCP Dataflow, Apache Beam, Java/Spring Boot, Angular, and tooling skills increases strictness.
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Design and develop high-performance data processing pipelines using Apache Beam and Google Cloud Dataflow on GCP.
Build and integrate full-stack solutions including Java Spring Boot backend APIs and Angular frontend screens for end-to-end cloud data platforms.
Lead data migration, manage vector store ingestion pipelines, architect real-time streaming pipelines, and provide technical leadership and mentoring to developers.
Bachelor's degree in Information Systems, Computer Science/Engineering, or related field.
5 to 8 years of software development experience including large, complex application development and integration.
Strong hands-on experience with GCP Dataflow, Apache Beam, core GCP services (Pub/Sub, Big Query, Cloud Storage, Cloud IAM), Java (Java 17+) and Spring Boot, Angular (TypeScript), relational databases (SQL), and DevOps tools (Git, Maven/Gradle, npm, CI/CD pipelines).
Work Experience Required: 5 to 8 years
Experienced software engineer with proven ability in building scalable, secure, and performant data pipelines and cloud services on Google Cloud Platform.
Capable of full-stack development including backend API design and frontend Angular integration, with strong skills in database design and optimization.
Comfortable leading technical aspects, mentoring teams, and collaborating in Agile environments on complex supply chain or data-driven projects.