Position: ETL Data Engineer Location: Dallas TX (Hybrid Model) Contract Opportunity Rate: Max $45/hr on W2 Must have skills: GCP, Teradata, Python, Informatica Key Responsibilities: • Lead and execute migration of data and ETL workflows from Teradata to GCP-based services such as BigQuery, Cloud Storage, Dataflow, Dataproc, and Composer (Airflow). • Analyze and map existing Teradata workloads to appropriate GCP equivalents. • Rewrite SQL logic, scripts, and procedures in GCP-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 GCP-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 GCP. • Strong hands-on experience in Teradata data warehousing, BTEQ, and complex SQL. • Solid knowledge of GCP 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 GCP. • Familiarity with CI/CD, Git, and DevOps practices in cloud data environments. • Strong analytical, troubleshooting, and communication skills. Preferred Qualifications: • GCP certification (e.g., Professional Data Engineer). • Exposure to Apache Kafka, Cloud Functions, or AI/ML pipelines on GCP. • Experience working in the healthcare, retail, or finance domains. • Knowledge of data governance, security, and compliance in cloud ecosystems.