Description

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

Responsibilities

  • Lead and execute migration of data and ETL workflows from Teradata to GCP services (BigQuery, Cloud Storage, Dataflow, Dataproc, Composer).
  • Analyze and map existing Teradata workloads to suitable GCP equivalents.
  • Rewrite 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

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