GCP Data Architect

We are seeking a highly skilled

Data Engineer

with expertise in

Google Cloud Platform (GCP) , particularly

BigQuery, PySpark, and Dataflow , to design, build, and optimize scalable data pipelines. The role involves working closely with analytics, product, and engineering teams to ensure reliable data availability and performance.

Key Responsibilities

Data pipeline development : Design, implement, and maintain ETL/ELT pipelines using GCP services (Dataflow, BigQuery, Pub/Sub, Cloud Storage).

BigQuery optimization : Develop efficient SQL queries, optimize schema design, and manage partitioned and clustered tables.

PySpark processing : Build scalable batch and streaming jobs for large datasets.

Dataflow orchestration : Implement real-time and batch data processing pipelines.

Data quality assurance : Ensure accuracy, consistency, and reliability of data across systems.

Collaboration : Work wi...

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