• Extensively involved with a multi-functional team (technical & non-technical members) on highly visible strategic projects and work independently as needed. Tackle relevantBigDataengineeringproblems and interact with top-caliber softwareengineers, web developers, and QA automation resources contributing to our growing ecosystem of cutting-edge SOA based applications.
• Manage a large-scale, high-availability, rapidly-growingBIGDATAinfrastructure on Google Cloud Servicesthat supports multidatasources. Closely work with DevOps and other teams withinIT area to provide quickDataSolutions.
• Design, architect and build ourdataplatform while using a variety ofBIGDATAtechnologies
• Work closely in the team to analyze and developdataarchitecture;ETL processes, ERD modelingand physical database implementation withGCPDataServices:Big Query, Big Table,DataFlow
• Contribute in the design, development and roll out of new application features that impact databases
• Develop and maintain an in-depth understanding of thedata/ETL architecture and the general application functionality used to maintaindataintegrity
• DevelopDataFlowjobs to answer complex analytical and real-time operational questions.
• Innovate by exploring, recommending, benchmarking, and implementingdata-centric platform technologies.
• Provide support for both analytics and operational platforms.
• Work closely with team-members to deliver defect-free solutions in a timely manner. Update work status on a frequent (as often as daily) basis
• Follow and improve upon processes and policies for database application development methodologies and lifecycles
• Work on multiple projects at a time either independently or as a team member
• Work with developers and business owners to provide database needs for the entirecompany platform
• Oversee the development and release of solutions to non-production environments

Knowledge, Skills and Abilities:

• Capable of logical/physical database design, development, analysis, architecture, and modelling
• Possess experience in architecting multi-tier and distributed database applications
• Experience withApache Beamand 1 year or more inJava or PythonandwithDataTransformation
• Working experience related to variousDataFlow, Big Table, Big Query, and any CloudDataStorage Buckets
• Strong logical/physical database design, development, analysis, architecture, and modelling
• You are passionate about,Data, BIGDATA, and ML-learning new technologies
• You will have a good sense ofengineeringtrade-offs, with an ability to understand the impact of software changes on extendibility, scalability, performance, and maintainability
• Experience with Kafka/ Pub-Sub, SQL programming, and performance tuning skills
• Good understanding of reporting platforms like Cognos and / or Business Objects.
• Good team management and communication skills.