Vacancy caducado!
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 lakesDesired 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 AtScalef interested please share profile with work authorization details at
Vacancy caducado!