ETL Data Engineer (W2 Position)

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2

Skills

GCP
Python
Teradata

Job Details

Role: ETL Data Engineer

Location: Dallas, TX

Must Have Skills: Google Cloud Platform, Python, Teradata

Job Description:

Key Responsibilities:

  • Lead and execute migration of data and ETL workflows from Teradata to Google Cloud Platform-basedservices 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/Java).
  • Optimize data storage, query performance, and costs in the cloud environment.
  • Implement monitoring, logging, and alerting for all migration pipelines and production workloads.

Required Skills:

  • 6+ 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 tools like Informatica, Apache Beam, or custom scripting (Python/Java).
  • Proven ability to refactor and translate legacy logic from Teradata to Google Cloud Platform.
  • Familiarity with CI/CD, Git, and DevOps practices in cloud data environments.
  • Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications:

  • Google Cloud Platform certification (e.g., Professional Data Engineer).
  • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on Google Cloud Platform.
  • Experience working in the healthcare, retail, or finance domains.
  • Knowledge of data governance, security, and compliance in cloud ecosystems.
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