GCP Data Engineer with AI/ML Integration & MLOps

About

This role focuses on architecting and maintaining scalable data solutions within Google Cloud Platform (GCP), with a specific emphasis on AI/ML integration and MLOps practices.

Requirements

• Bachelor's degree in Computer science or equivalent, with minimum 10+ Years of Overall IT experience.
• Should have 7+ years of dedicated Data Engineering experience, with at least 3+ years focused exclusively on the Google Cloud Platform (GCP).
• Architect and maintain a scalable data lakehouse using Google Cloud Storage (GCS) as the foundational data lake and BigLake to unify data warehouses and data lakes.
• Should Implement fine-grained security (row-level and column-level access controls) and data governance across open file formats (Parquet, Iceberg, ORC) using BigLake.
• Should have experience in Data Warehousing & Optimization.
• Should have experience in Design and manage complex, highly scalable data models within Big Query.
• Should Perform deep performance tuning and cost optimization of Big Query jobs utilizing clustering, partitioning, materialized views, and slot capacity management.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.

Job Mode

Contract (F2F Interview)