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GCP Technical Lead

GCP Technical Lead

QodeFlorida, FL, US
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Job Description – Technical Lead

Position :  GCP Engineer

Location :  Tampa FL, Dallas TX, Basking Ridge NJ

Employment Type :  12+ Months

Job Summary :

We are looking for a highly skilled  GCP Engineer  with expertise in  BigQuery  and other GCP services to design, implement, and optimize data solutions on Google Cloud Platform. The ideal candidate will have strong experience in data engineering, cloud computing, and large-scale data processing.

Key Responsibilities :

  • Design, develop, and optimize  BigQuery  data warehouses, ensuring high performance and cost efficiency.
  • Build and maintain scalable  ETL pipelines  using GCP services such as  Cloud Dataflow, Cloud Dataproc, and Cloud Composer (Airflow) .
  • Implement  data ingestion, transformation, and processing  workflows using  Python, SQL, and Spark .
  • Work with  Cloud Storage, Pub / Sub, and Cloud Functions  to facilitate real-time and batch data processing.
  • Ensure  data security, governance, and compliance  using IAM, encryption, and audit logging.
  • Collaborate with  Data Scientists and Analysts  to optimize query performance and enable advanced analytics.
  • Troubleshoot performance issues, optimize queries, and manage  BigQuery cost and resource utilization .
  • Implement  CI / CD  pipelines for data workflows using  Terraform and Cloud Build .
  • Monitor and maintain  GCP infrastructure , ensuring reliability and scalability.

Required Skills & Experience :

  • 10+ years of experience  working as a  GCP Data Engineer  or similar role.
  • Strong expertise in  Google BigQuery  – performance tuning, partitioning, clustering, and cost optimization.
  • Hands-on experience with  ETL tools and frameworks , including  Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), and Cloud Composer (Airflow) .
  • Proficiency in  SQL, Python, and Shell scripting  for data transformation and automation.
  • Experience with  Google Cloud Storage, Pub / Sub, and Cloud Functions .
  • Strong understanding of  GCP IAM, security best practices, and data governance .
  • Familiarity with  Terraform, Cloud Build, and CI / CD for infrastructure automation .
  • Ability to work with  large-scale datasets and real-time streaming data processing .
  • Experience in  data modeling, schema design, and optimization techniques .
  • Strong analytical and problem-solving skills.

    • Preferred Qualifications :

  • GCP Professional Data Engineer Certification  is a plus.
  • Experience with  Machine Learning workflows on GCP (Vertex AI, AutoML, TensorFlow on AI Platform)  is a plus.
  • Experience with  Kubernetes (GKE) and containerized deployments  is a plus.
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