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 work
• Work 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/IT
• Masters in Data Analytics/Information Technology/Management Information System (preferred)
• Strong understanding of data fundamentals, knowledge of data engineering and familiarity with core cloud concepts
• Good implementation experience on various GCP's Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL
• Programmatic experience of SQL, Python, Apache Spark
• Atleast 7-8 years of professional experience in building data engineering capabilities for various analytics portfolio with atleast 5 years in GCP/Cloud based platform.