GCP Data Engineer
Job description
Design and implement data pipelines on Google Cloud Platform to support data processing and analytics Optimize and monitor data pipelines for performance and reliability Collaborate with data scientists and analysts to understand their data requirements and provide technical solutions Work with cross-functional teams to integrate data from different sources and systems Troubleshoot and resolve issues related to data processing and pipeline failures Stay up-to-date on the latest trends and best practices in data engineering on Google Cloud Platform
Requirements
Experience working with Google Cloud Platform (Google Cloud Platform) services, such as BigQuery, Dataflow, and Pub/Sub Proven track record of designing and implementing data pipelines in a cloud environment Strong understanding of data warehousing and ETL processes Proficiency in SQL and Python for data manipulation and analysis Excellent problem-solving and analytical skills
Qualifications
Certification in Google Cloud Platform Experience with Apache Beam for data processing Knowledge of data governance and security best practices Experience with data visualization tools, such as Tableau or Power BI
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About
UnifyX is a technology solutions company specializing in AI, healthcare technology, CRM platforms, cloud services, and custom software development. We help organizations streamline operations, automate workflows, and accelerate digital transformation through innovative, scalable, and business-focused solutions.