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Metro location and mid-level generalist data platform profile increase applicant density.
Core data platform and cloud skills are broadly transferable across industries.
Multiple mandatory cloud, streaming, infra, and language skills create moderate technical filtering.
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Build and maintain batch and real-time data pipelines using Dataflow and Kafka for the Operational Data Store.
Develop and monitor complex Airflow (Cloud Composer) DAGs to ensure timely data delivery.
Deploy and manage GCP resources via Terraform; create internal APIs and microservices using FastAPI and Golang.
Proficiency in Python (Advanced), Golang (Intermediate), and SQL mandatory.
Experience with GCP services like Cloud Run, BigQuery, Cloud SQL for PostgreSQL, Cloud Spanner, Pub/Sub, and Managed Airflow required.
Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related technical field.
Work Experience Required: Not explicitly mentioned in the JD.
Strong foundation in distributed systems, database management, algorithm design, and real-time computing as per specialized coursework.
Experience working in event-driven architectures and managing enterprise-scale data platforms.
Operational focus on automating infrastructure deployment and CI/CD pipelines using Terraform and container management (Docker).