Description

You will own the migration and operation of data pipelines within Google Cloud Platform.

This role is hybrid.

Responsibilities

• Lead and execute migration of data and ETL workflows from Teradata to GCP services including BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer.
• Analyze and map existing Teradata workloads to suitable GCP equivalents, rewriting SQL logic, scripts, and procedures into GCP-compliant formats.
• Develop automated workflows for data movement and transformation using GCP-native tools or custom Python scripts.
• Optimize data storage, query performance, and costs within the cloud environment.

Required Skills

• 10+ years of experience in Data Engineering, with 2+ years specifically in GCP.
• Strong hands-on experience with Teradata data warehousing and complex SQL.
• Expertise in GCP services including BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
• Proficiency in ETL/ELT pipeline development using custom scripting in Python or Java.
• Experience refactoring and translating legacy logic from Teradata to GCP.
• Familiarity with Big Data principles.
• Experience with Git and CI/CD practices in a cloud data environment.

Key Skills

Education

Any Graduate