Description

You will design end-to-end enterprise data architectures for large-scale analytics and operational use cases.

Responsibilities

• Translate business requirements into conceptual, logical, and physical data models.
• Develop data pipelines on GCP using Dataflow for batch and/or streaming processing.
• Build transformation layers using Dataform and/or dbt, handling modeling, testing, documentation, and deployment.
• Optimize BigQuery schema design, partitioning, and clustering for performance and cost.
• Write complex transformations and analytics queries using SQL across large datasets.

Required Skills

• 8+ years of experience in data engineering.
• Expert proficiency in SQL.
• Strong programming skills in Python, Java, or Scala.
• Hands-on experience with GCP services.
• Deep expertise in BigQuery optimization and schema design.
• Experience building pipelines with Dataflow.
• Proficiency with dbt for data transformation.
• Working knowledge of Git for version control and CI/CD workflows.
• Familiarity with Erwin for data modeling.

Key Skills

Education

Bachelor's degree