Google Cloud Data Engineer

Senior Data Engineering Google Cloud Platform (GCP)It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. If you are a Google Cloud data engineer, SimmonsBank invites you to collaborate in an agile team of peers developing cloud based analytics platform integrating data from broad amount of systems to enable next-gen analytical products. Senior Data Engineering Google Cloud Platform (GCP) is responsible to develop and deliver effective cloud solutions for different business units. This position requires in-depth knowledge and expertise in GCP services, architecture, and best practices. They will collaborate with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions. This position will also be responsible for driving innovation and staying up-to-date with the latest GCP technologies and trends to provide industry-leading solutions.Our Future Colleague Will:Contribute to multi year data analytics modernization roadmap for the bank.Directly work on the platform based on Google BigQuery and other GCP services to integrate new data sources and model the data up to the serving layer.Contribute to this unique opportunity as the program is set-up to completely rethink reporting and analytics with Cloud technology.Collaborate with different business groups, users to understand their business requirements and design and deliver GCP architecture, Data Engineering scope of workWork on a large-scale data transformation program with the goal to establish a scalable, efficient and future-proof data & analytics platform.Develop and implement cloud strategies, best practices, and standards to ensure efficient and effective cloud utilization.Work with cross-functional teams to design, implement, and manage scalable and reliable cloud solutions on GCP.Provide technical guidance and mentorship to the team to develop their skills and expertise in GCP.Stay up-to-date with the latest GCP technologies, trends, and best practices and assess their applicability to client solutions.Qualifications What will help you succeed:Bachelors University degree computer science/ITMasters in Data Analytics/Information Technology/Management Information System (preferred)Strong understanding of data fundamentals, knowledge of data engineering and familiarity with core cloud conceptsMust have good implementation experience on various GCP's Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQLMust have programmatic experience of SQL, Python, Apache SparkAtleast 7-8 years of professional experience in building data engineering capabilities for various analytics portfolio with atleast 5 years in GCP/Cloud based platform.