Job Title: Data Engineer (GCP, PySpark, BigQuery, Databricks) - CONTRACT W2 Location: Dallas TX – Onsite Duration: 12 months Job Summary We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), PySpark, BigQuery, and Databricks to design, build, and optimize scalable data pipelines. The ideal candidate will have hands-on experience in migrating data workflows from Databricks to GCP, ensuring seamless integration and performance optimization. Required Skills & Qualifications • 8+ years of experience as a Data Engineer with expertise in GCP, PySpark, and BigQuery. • Hands-on experience with Databricks (Spark, Delta Lake, DBFS) and migrating workloads to GCP. • Strong proficiency in SQL, Python, and PySpark for data transformation. • Experience with GCP services: BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub. • Knowledge of data warehousing concepts, partitioning, and indexing in BigQuery. • Familiarity with CI/CD pipelines, Terraform, and infrastructure-as-code (IaC) for GCP. • Experience with real-time & batch data processing. • Strong problem-solving skills and ability to optimize large-scale data pipelines. Preferred Qualifications • GCP Professional Data Engineer certification. • Experience with Databricks Unity Catalog, MLflow, or Databricks workflows. • Knowledge of dbt (data build tool) for transformation in BigQuery. • Exposure to Data Mesh or Data Fabric architectures.