Vacancy expired!
Job Overview:
Designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Google Cloud Platform data and analytics services in combination with technologies At scale and Airflow.
Responsibilities:
• Designing and implementing data transformation, ingestion and curation functions on Google Cloud Platform cloud using Google Cloud Platform native or custom programming
• Designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Python etc.
• Performing detail assessments of current state data platforms and creating an appropriate transition path to Google Cloud Platform cloud
• Analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on Google Cloud Platform cloud using Google Cloud Platform/3rd party services
• Optimizing data pipelines for performance and cost for large scale data lakes
Desired Qualifications:
• Hands-on Google Cloud Platform experience with a minimum of 1 solution designed and implemented at production scale
• 3+ years of experience writing complex SQL queries, stored procedures, etc
• Hands-on experience architecting and designing data lakes on Google Cloud Platform cloud serving analytics and BI application integrations
• Experience in designing and optimizing data models on Google Cloud Platform cloud using Google Cloud Platform data stores such as BigQuery, BigTable
• Experience integrating Google Cloud Platform or 3rd party KMS, HSM with Google Cloud Platform data services for building secure data solutions
• Experience architecting and implementing metadata management on Google Cloud Platform
• Architecting and implementing data governance and security for data platforms on Google Cloud Platform
• Agile development skills and experience
• Experience with CI/CD pipelines such as Concourse, Jenkins
• Dimensional modeling using tools like AtScale
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