Description

You will lead the migration of data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform.

Responsibilities

  • Execute the migration of data and ETL workflows from Teradata to GCP services including BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer.
  • Map existing Teradata workloads to appropriate GCP equivalents and rewrite SQL logic into BigQuery-compliant formats.
  • Develop automated workflows for data movement and transformation using Python, Java, or GCP-native tools.
  • Optimize data storage, query performance, and cloud costs.
  • Implement monitoring, logging, and alerting for migration pipelines and production workloads.

Required Skills

  • 12+ years of experience in data engineering roles.
  • Deep hands-on experience with Teradata, BTEQ, and complex SQL.
  • 2+ years of direct experience with Google Cloud Platform (GCP).
  • Proficiency with BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
  • Experience building ETL/ELT pipelines using Informatica, Apache Beam, Python, or Java.
  • Ability to refactor and translate legacy Teradata logic to GCP.
  • Practical knowledge of CI/CD, Git, and DevOps practices in cloud environments.
  • Any Graduate degree.

Preferred Skills

  • GCP Professional Data Engineer certification.
  • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP.
  • Experience in healthcare, retail, or finance domains.
  • Knowledge of data governance, security, and compliance in cloud ecosystems.

Key Skills
Education

Any Graduate

Back To Jobs