Data Engineer (Teradata to Google Cloud Platformmigration exp)

Overview

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Skills

Data Engineer (Teradata to GCPmigration exp)

Job Details

Hi, NO H1s Please
Greetings from the conch technologies

Data Engineer (Teradata to Google Cloud Platform migration exp)

Hybrid onsite in Hartford CT or Irving TX

12 month initial contract

Key skills: Teradata to Google Cloud Platform data migration, Google certification strongly preferred

Required Skills:

  • 7+ years of experience in Data Engineering, with at least 2 years in Google Cloud Platform.
  • Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL.
  • Solid knowledge of Google Cloud Platform services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer, and Dataproc.
  • Experience with ETL/ELT pipelines using custom scripting tools (Python/Java).
  • Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
  • Familiarity with CI/CD, GIT, Argo CD, and DevOps practices in cloud data environments.
  • Intangibles: Strong analytical, troubleshooting, and communication skills. Problem solving mindset, Attention to detail, Accountability and ownership
Preferred Qualifications:
  • Google Cloud Platform certification (Preferred: Professional Data Engineer).
  • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on Google Cloud Platform.
  • Experience working in the healthcare domain.
  • Knowledge of data governance, security, and compliance in cloud ecosystems.
Key Responsibilities:
  • Execute migration of data and ETL workflows from Teradata to Google Cloud Platform-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow).
  • Analyze and map existing Teradata workloads to appropriate Google Cloud Platform equivalents.
  • Rewrite SQL logic, scripts, and procedures in Google Cloud Platform-compliant formats (e.g., standard SQL for BigQuery).
  • Collaborate with data architects and business stakeholders to define migration strategies, validate data quality, and ensure compliance.
  • Develop automated workflows for data movement and transformation using Google Cloud Platform-native tools and/or custom scripts (Python).
  • Optimize data storage, query performance, and costs in the cloud environment.
  • Implement monitoring, logging, and alerting for all migration pipelines and production workloads.
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Thank you & Regards
V S Durga Prasad | Sr. IT Recruiter
E: | Ph:
Conch Technologies Inc |
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