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Tier-1 brand, metro location, and mid-level generalist data-platform skillset increase applicant competition.
Core data platform and cloud skills transfer across industries, so background sensitivity is low.
Explicit 5–8 years plus mandatory GCP Dataflow, Apache Beam, Java/Spring Boot and Angular skills raise filter strictness.
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Design and build robust, scalable batch and streaming data pipelines on Google Cloud Platform using Apache Beam and Dataflow.
Develop and integrate full-stack solutions including Java Spring Boot backend services and Angular frontend interfaces for seamless cloud-based data infrastructure.
Provide technical leadership including data migration, API design, database management, and end-to-end pipeline integration supporting AI systems and real-time agent information needs.
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, IAM), Java (Java 17+) and Spring Boot backend development, RESTful API design, Angular frontend development, and relational databases (SQL).
Experience with DevOps tools including Git, Maven/Gradle, npm, and CI/CD pipelines (e.g., GitHub Actions, Tekton, Google Cloud Build).
Experienced in architecting and optimizing cloud-native data pipelines with strong operational understanding of GCP ecosystems.
Skilled full-stack developer comfortable with integrating frontend Angular UI with secure, performant backend Java microservices in an Agile environment.
Capable of leading complex integrations and data migration/conversion activities, with experience supporting AI-related data infrastructure and real-time streaming agent grounding.