SpringML is looking for a Top-notch Google Cloud Platform Senior Data Engineer. As a senior Data Engineer, you will be responsible for the design and development of next-generation hybrid cloud platform solutions and supervise their implementation across different clients and engineering teams, ensuring that industry best practices are incorporated.
Total of 4+ years of experience in development, architecting/designing and implementing Software solutions for enterprises.
Must have strong programming experience in either Python or Java/J2EE.
Minimum of 4+ year’s experience working with various Cloud platforms preferably Google Cloud Platform.
Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow will be highly preferred.
Presentation skills with a high degree of comfort speaking with management and developers
The ability to work in a fast-paced, work environment
Excellent communication, listening, and influencing skills
Lead teams to implement and deliver software solutions for Enterprises by understanding their requirements.
Communicate efficiently and document the Architectural/Design decisions to customer stakeholders/subject matter experts.
Opportunity to learn new products quickly and rapidly comprehend new technical areas – technical/functional and apply detailed and critical thinking to customer solutions.
Implementing and optimizing cloud solutions for customers.
Migration of Workloads from on-prem/other public clouds to Google Cloud Platform.
Provide solutions to team members for complex scenarios.
Promote good design and programming practices with various teams and subject matter experts.
Ability to work on any product on the Google cloud platform.
Must be hands-on and be able to write code as required.
Ability to lead junior engineers and conduct code reviews