Data Engineer-GCP
Summary
Designs and builds scalable data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub, with Python and SQL.
Strong GCP Data Services Expertise
Hands‑on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Ability to design scalable data solutions using native GCP tools.
Experience in Data Pipeline Development (Batch & Streaming)
Building and maintaining ETL/ELT pipelines, Experience with real‑time streaming and batch processing.
Strong Programming & Query Skills
Proficiency in Python and SQL, Experience with data processing frameworks like Apache Beam or Spark.
Understanding of Data Modeling & Warehousing
Strong understanding of data modeling (star/snowflake schemas), Experience designing and optimizing data warehouses (BigQuery).
Nice to Have Skills
- Multi‑Cloud Exposure: Understanding of cross‑cloud data integration and migration, Experience working with AWS or Azure alongside GCP.
- Knowledge of Streaming & Messaging Frameworks: Experience with Kafka or advanced Pub/Sub patterns, Knowledge of real‑time data architectures.
- Basic Understanding of Containerization & Orchestration: Hands‑on with Docker and Kubernetes (GKE), Ability to deploy and manage data workloads in containerized environments.
- Data Governance & Security: Familiarity with data lineage, cataloging, and governance tools, Understanding of IAM roles, data security, and compliance in GCP.