Description

You will design and maintain large-scale data pipelines and warehousing systems within a GCP environment.

Responsibilities

• Build and manage batch and real-time data engineering pipelines.
• Develop data warehouse systems using complex SQL queries and ETL principles.
• Deploy and manage Google Cloud services using Terraform.
• Implement data processing workflows using BigQuery, Dataflow, and Dataproc.

Required Skills

• 5+ years of experience with GCP Big Data deployments (Batch/Real-Time).
• Expertise in BigQuery, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, and Dataproc.
• 3+ years of in-depth experience with Java or Python.
• 2+ years of experience building data engineering pipelines and data warehouse systems.
• Advanced SQL skills for complex query development.
• 2+ years of experience with Hive (HQL), Oozie Scheduler, IBM DataStage, or Informatica IICS with Teradata.
• 1 year of experience deploying cloud services using Terraform.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree