Data Architect Python and GCP cloud

Data Architect with Python and GCP cloud - Full Time Role

Role: Senior Data Architect

Location: Issaquah, WA (Day 1 Onsite)

Job Type: Full-Time

• Develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data. This includes batch and real-time processing
• Develop and maintain data pipelines and ETL processes using Python
• Design, build, and optimize data models and data architecture for efficient data processing and storage
• Implement data integration and data transformation workflows to ensure data quality and consistency

• Working experience as a Data Engineer
• Experienced in migrating large-scale applications from legacy systems to modern architectures
• Good programming skills in Python and experience with Spark for data processing and analytics
• Experience in Google Cloud Platform services such as GCS, Dataflow, Cloud Functions, Cloud Composer, Cloud Scheduler, Data stream (CDC), Pub/Sub, Big Query, Dataproc, etc. with Apache Beam (Batch & Stream data processing)
• Develop JSON messaging structure for integrating with various applications
• Leverage Dev Ops and CI/CD practices (Git Hub, Terraform) to ensure the reliability and scalability of data pipelines
• Experience with scripting languages like Shell, Perl etc.
• Design and build an ingestion pipeline using Rest API
• Experience with data modeling, data integration, and ETL processes
• Strong knowledge of SQL and database systems
• Familiarity with managing cloud-native databases
• Understanding of security integration in CI/CD pipelines
• Understanding of data warehousing concepts and best practices
• Proficiency in working with large-scale data sets and distributed computing frameworks

Note: Visa Independent candidates are highly preferred

• Job function:
  Engineering and Information Technology
• Industries: IT Services and IT Consulting