GCP Data engineer

Job title : GCP Data engineer

Location :  Dallas, TX or Hartford, CT, 

The goal is to migrate data warehouse assets and ETL pipelines from Teradata to Google Cloud Platform (GCP). The role involves hands-on development, testing, and optimization of data pipelines and warehouse structures in GCP, ensuring minimal disruption and maximum performance.

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.
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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.
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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.