Remote Data Engineer needs 10 years’ exoperience Remote Data Engineer requires:  Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:  BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.  Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub  Programming & Querying: Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries  SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.  Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).  DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.  DevOps/CI/CD, Data Pipeline Orchestration:, SQL, Cloud Platform Expertise (GCP Focus):, Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub Remote Data Engineer duties:  Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development.  Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics  Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics.  Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.

Employment Type: Full-Time

Salary: $80.00 Per Hour