Description

Cloud Expertise: Expert-level mastery of the GCP Data Stack:

Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage.

Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).

Messaging: Pub/Sub and Confluent/Kafka integration.

Analytics & AI: Looker, Vertex AI, and BigQuery ML.

Certifications: Must hold an active GCP Professional Data Engineer certification.

DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high level of technical proficiency and architectural maturity.

Modern Data Stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes).

Experience & Qualifications:

Years of Experience: 18–20 years in Data Engineering, Data Warehousing, and Business Intelligence, with at least 6+ years focused specifically on GCP.

Migration Track Record: Proven experience leading at least two enterprise-scale migrations (PB-scale) to the cloud.

Leadership: Demonstrated experience leading large, cross-functional engineering teams in an Agile/DevOps environment

Key Skills

Education

Any Gradute