Design and manage data pipelines using GCP tools (BigQuery, Dataflow, Dataproc).
Collaborate with stakeholders to define data requirements and models.
Implement cloud data storage, processing, and analytics solutions.
Optimize Big Data ecosystems (Hadoop, HDFS, Hive, Spark).
Develop ETL processes and workflows for data transformation.
Apply advanced Java skills for scalable data processing.
Troubleshoot data issues and improve performance.
Automate tasks and ensure system reliability using GCP services.
Maintain data quality, security, and compliance standards.
Stay updated with best practices in cloud infrastructure.
Key Skills & Qualifications :
Proficient with GCP services (BigQuery, Dataflow, Dataproc).
Expertise in Big Data and Hadoop ecosystems (Spark, Hive, HBase).
Strong Java programming skills for cloud-based data tasks.
Excellent problem-solving and analytical abilities.
Experience with data pipelines, workflows, and cloud data architecture.
Familiarity with containerization (Docker, Kubernetes) and CI / CD.
Strong communication and team collaboration skills.
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Gcp Data Engineer • Phoenix, AZ, Arizona, USA
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