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• Design and implement scalable, secure, and cost-effective data architectures using GCP.
• Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage.
• Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP.
• Ensure data architecture aligns with business goals, governance, and compliance requirements.
• Collaborate with stakeholders to define data strategy and roadmap.
• Design and deploy BigQuery solutions for optimized performance and cost efficiency.
• Build and maintain ETL/ELT pipelines for large-scale data processing.
• Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration.
Requirements
• 7+ years of experience in data architecture, with at least 3 years in GCP environments.
• Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services.
• Strong experience in data warehousing, data lakes, and real-time data pipelines .
• Proficiency in SQL, Python , or other data processing languages .
• Experience with cloud security, data governance, and compliance frameworks.
• Strong problem-solving skills and ability to architect solutions for complex data environments.
• Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred.
• Leadership experience and ability to mentor technical teams.
• Excellent communication and collaboration skills.
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