Posted:1 week ago|
Platform:
On-site
Full Time
Responsibilities include: • 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. Show more Show less
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