Shop Your Way

Responsibilities:

• 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

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.

Preferred Requirements:

• Expert knowledge of network, internet and data storage security, software engineering best practices across the development lifecycle, agile methodologies, coding standards, source management, and building processes for testing, and operations.
• Extremely comfortable with communicating with users, other technical teams, and senior management to collect requirements and describe data modeling decisions and data engineering strategy.
• Skilled in communicating with remote teams across different time zones.
• Is accustomed to working with cross-functional teams to troubleshoot and resolve errors
• Google Cloud Platform certification is a plus.