GCP Data Engineer

Mandatory skills: GCP , Bigquery and SQL is must Section II - Job Evaluation Topics and Weight (Questions and evaluation are based on below) Topic of Evaluation / Skills* Mandatory / Non-mandatory Percentage* (Skills / Topics should sum up to 100%) (Enter only multiples of 5) Mandatory Mandatory Mandatory Mandatory Non-Mandatory Section III - Job Requirements and Responsibilities Section Details / Example Content Job Requirements* Key Responsibilities* Section IV - Job Qualifications & Skills Section Details / Example Content Domain - 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. Soft Skills - Excellent communication - Team collaboration - Documentation and knowledge sharing Education Requirements Bachelor's/Master's in Computer Science or equivalent (can be marked optional or flexible) Certifications GCP Data Engineer