7 Data Architecture And Engineering jobs in Taipei.

Hiring now: Sr Data Infrastructure En @ Asus, Expert In Data Pipelines @ Veeva Syst, Customer Engr Infrastruct @ Google.Explore more at jobswithgpt.com.

🔥 Skills

data pipelines (4) problem solving (3) data science (2) big data processing (2) data access control (2) data versioning (2) data warehouses (2) knowledge representation (2) programming (2) ETL tools (2)

📍 Locations

Taipei (6) New Taipei City (1)

Asus

Skills & Focus: data infrastructure, data science, big data processing, data access control, data versioning, data migration, data warehouses, data lakes, data pipelines, software architecture
Experience: 5+ years of industry work experience or equivalent.
Skills & Focus: information models, knowledge representation, programming, semantic data models, ontologies, problem solving, coding standards, software development, graph-based models, stakeholder communication
Experience: 5+ years of software development experience
Skills & Focus: information modeling, knowledge representation, schema design, SQL, noSQL, microservices, resource-oriented architectures, problem solving, programming, software development best practices
Experience: 5+ years

Veeva Systems

Skills & Focus: data pipelines, ETL tools, warehousing, data acquisition, integration, complex problems, high-quality solutions, fast-paced environment
About the Company: Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the…

Asus

Skills & Focus: data pipelines, data science, big data processing, data access control, data versioning, migration strategies, software lifecycle, data warehouses, programming languages, problem solving
Experience: Master’s degree or PhD

Veeva Systems

Skills & Focus: data pipelines, ETL tools, data acquisition, cloud-based, AWS, Apache Spark, documentation, data integration, best practices, security requirements
About the Company: Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the…
Experience: 4+ years of experience in Data Engineering roles.
Type: Full-time
Benefits: Comprehensive benefits package, Flexible ‘work from anywhere’ policy.

Google

Skills & Focus: cloud migration, infrastructure modernization, cloud solutions, data center migration, disaster recovery, Kubernetes, enterprise architecture, virtualization, networking concepts, AI and Machine Learning
About the Company: Google Cloud Platform helps customers transform and build what's next for their business, leveraging cutting-edge technology and tools.
Experience: 10 years of experience in related fields.
Type: Full-time