Posted:None|
Platform:
Work from Office
Full Time
A GCP Data Engineering Architect designs, implements, and manages scalable data solutions on Google Cloud Platform (GCP). They are responsible for defining data architecture, ensuring data quality and security, and optimizing data pipelines for various use cases, including data warehousing, big data processing, and real-time analytics. This role involves collaborating with stakeholders, mentoring junior engineers, and staying up-to-date with the latest GCP technologies.
Skills Required:
12~16 years' experience in IT or professional services experience in IT delivery or large-scale IT data engineering projects.Data Pipeline Development:Building and optimizing data pipelines using GCP services like BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, and Cloud Run.Designing and Architecting Data Solutions:Developing end-to-end data solutions on GCP, including data models, storage strategies, data ingestion, processing, and consumption frameworks.Data Security and Governance:Implementing data security frameworks, establishing data governance policies, and ensuring compliance with data quality and privacy standards.Data Warehousing and Big Data:Solid understanding of data warehousing concepts, big data processing frameworks, and ETL/ELT processesMentoring and Leadership:Providing technical guidance, mentoring junior team members, and contributing to the overall data engineering strategy.Staying Updated:Keeping abreast of the latest GCP services, data architecture trends, and best practices.Expert knowledge in SQL development.
Key Skills - Data engineering Architecture, GCP services like BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, Cloud Composer, and Cloud Run, technical mentoring
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