Enterprise Data Architect
1 week ago
Job Summary
Net2Source Inc. is seeking a highly skilled Cloud Data Engineer to join our team. As a Cloud Data Engineer, you will be responsible for designing, building, and operationalizing large-scale enterprise data solutions and applications using Google Cloud Platform (GCP) data and analytics services.
Key Responsibilities
- Collaborate with implementation teams to deploy large-scale data solutions in the enterprise, leveraging modern data/analytics technologies on premise and cloud.
- Work with data teams to efficiently use GCP to analyze data, build data models, and generate reports/visualizations.
- Integrate massive datasets from multiple data sources for data modeling.
- Formulate business problems as technical data problems, ensuring key business drivers are captured in collaboration with product management.
- Design pipelines and architectures for data processing, create and maintain machine learning and statistical models, and extract, load, transform, clean, and validate data.
- Develop and implement data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Python, and SQL.
- Design and implement end-to-end solutions at production scale, leveraging GCP services such as BigQuery, Cloud DataProc, and Cloud Functions.
Requirements
- Minimum 7 years of experience designing and building production data pipelines.
- Minimum 7 years of hands-on GCP experience with a minimum of an end-to-end solution designed and implemented at production scale.
- Strong expertise in GCP data and analytics services, including BigQuery, Cloud DataProc, and Cloud Functions.
- Proficiency in Python, SQL, and Cloud Native technologies.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
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