GCP Data Engineer
Position: GCP Data EngineerLocation: Richardson, TXDuration: Long term contractInterview: F2F (Face to Face)/Onsite Job Summary:We are seeking an experienced Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions. The ideal candidate will have hands-on expertise with GCP services, ETL/ELT processes, and big data technologies, enabling the delivery of scalable and high-performance data solutions.Key Responsibilities:· Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP services such as BigQuery, Dataflow, Pub/Sub, Data Fusion, Dataproc, and Cloud Storage.· Build and optimize data warehouses and data lakes on GCP.· Collaborate with data scientists, analysts, and business stakeholders to deliver data models that meet business needs.· Implement data quality, governance, and security best practices.· Monitor and troubleshoot pipeline performance using Cloud Monitoring and Cloud Logging.· Automate data workflows and improve efficiency using Python, SQL, and scripting tools.· Stay updated on emerging GCP services and recommend adoption where beneficial.Required Skills & Qualifications:· Bachelor’s degree in Computer Science, Data Engineering, or related field.· 5+ years of experience as a Data Engineer with hands-on GCP experience.· Strong skills in SQL and Python.· Experience with BigQuery and at least two of the following: Dataflow, Pub/Sub, Data Fusion, Dataproc, Cloud Composer.· Knowledge of data modeling, data warehousing, and big data architectures.· Experience with batch and streaming data processing.· Understanding of IAM, data security, and compliance requirements.Preferred Qualifications:· GCP Professional Data Engineer or Associate Cloud Engineer certification.· Experience with Apache Beam, Kafka, or similar streaming frameworks.· Familiarity with CI/CD pipelines for data engineering workflows.· Exposure to machine learning data preparation pipelines.