Making Moments Matter
Cloud Data/Systems Engineer
Location
United States
Posted
55 days ago
Salary
0
Seniority
Senior
Job Description
Cloud Data/Systems Engineer
Shop Your Way
• Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud • Build and implement a solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP • Work with data team to efficiently use Cloud infrastructure to analyze data, build models, and generate reports/visualizations • Integrate massive datasets from multiple data sources for data modeling • Design, build, implement and manage APIs and API proxies. • Organizes and implements all API development processes internally and externally. • Ensures that API’s are satisfactory to business requirements, including features, infrastructure and systems • Troubleshoots and tests all features, systems, and functionality of end products. • Implement methods for automation of all delivery components to minimize labor in development and production • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management • Knowledge in machine learning algorithms especially in recommender systems • Extracting, Loading, Transforming, cleaning, and validating data • Designing pipelines and architectures for data processing • Creating and maintaining machine learning and statistical models • Querying datasets, visualizing query results and creating reports
Job Requirements
- BS, MS or PhD in Computer Science, Engineering, Economics, Business or Mathematics.
- 3+ years experience in designing and optimizing data models on GCP cloud using GCP data stores such as BigQuery, BigTable.
- 3+ years experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on GCP cloud using GCP/3rd party services.
- 3+ years hands-on experience architecting and designing data lakes on GCP cloud serving analytics, BI application integrations and implementing scalable API solutions at production scale.
- Minimum 3 year of experience in performing detailed assessments of current state data platforms and creating an appropriate transition path to GCP cloud.
- Minimum 3 year of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture using Java, Python, Scala etc.
- Hands-on experience with Spark, Cloud DataProc, Cloud Dataflow, Apache Beam, BigTable, Cloud BigQuery, Cloud PubSub, Cloud Functions, etc.
- Experience in architecting and implementing metadata management, data governance and security for data platforms on GCP.
- Experience in designing operations architecture and conducting performance engineering for large scale data lakes a production environment.
- Experience architecting and operating large production Hadoop/NoSQL clusters on premise or using Cloud services.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
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