Architect GCP Data Engineer

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Experience:
8+ Years
Location:
Remote
Skill Sets:
Data Engineering | GCP | Solution Architect | Team Leading | SQL | Artificial Intelligence (AI)
Job Description:
- 8+ years of overall experience in Data Engineering, with at least 3–4 years of hands-on experience on Google Cloud Platform (GCP).
- Strong expertise in GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Cloud Storage, and Dataproc.
- Proven experience in architecting scalable data lakes, data warehouses, and real-time data processing systems
- Hands-on experience with AI/ML integrations, or similar ML frameworks.
- Experience designing and implementing data pipelines to support AI/ML models, feature engineering, and model deployment workflows.
- Strong proficiency in Python, SQL, and Spark for data processing and transformation.
- Experience working with structured, semi-structured, and unstructured data.
- Demonstrated experience leading and mentoring a team of data engineers, conducting code reviews, and defining best practices.
- Experience in stakeholder management, requirement gathering, and translating business needs into technical solutions.
- Strong understanding of data governance, security, and compliance best practices.
- GCP certifications such as Google Professional Data Engineer or Google Professional Cloud Architect (preferred).