GCP Certified Data Engineer

Job Title: GCP Data Engineer with GCP certified is MUST Location: Remote Job responsibilities ● Propose solution architectures and manage the deployment of cloud based compute, storage, database, & networking solutions according to customer requirements and implementation best practices. ● Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives. ● Advocate for customer needs in order to overcome adoption blockers and drive new feature development based on your field experience. ● Propose solution architectures and manage the deployment of cloud-based distributed, virtualized infrastructure solutions according to complex customer requirements and implementation best practices. ● Work with internal delivery / project teams to align on best practices, and lessons learned in the project. Minimum qualifications ● Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. ● 7 years of experience in technical client services. ● Experience in the design and/or implementation of Cloud based technical architectures, and infrastructure solutions. ● Experience in as many of the following as possible: networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing or maintaining secure cloud solutions in virtualized environments. ● Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. ● Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications Having as many of these specific qualifications as possible is a plus, but transferable skills/experiences may be equally valuable ● Experience with Google Cloud Platform (GCP) ● Cloud certification. - Google Cloud Professional Certification - (Architect, Networking, Machine Learning as examples) ● Customer facing delivery experience, including service discovery, assessment, designing architectures, and cloud operations. ● Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management ● Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE). ● Experience troubleshooting networking protocols such as TCP/IP, HyperText Transfer Protocol Secure (HTTP/S), and Border Gateway Protocol (BGP). ● Demonstrated excellent communication, written, presentation and problem solving skills, and experience in project and technical solution delivery.