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Technical Solutions Development Manager, Data Analytics, Google Cloud Support
Google
Waterloo, CAN
Manager · 13+ years experience
Onsite
CAD 174000-178000 / year
Discovered 1 weeks ago
airflowhadoopjavajavascriptkuberneteslinux
Key Skills for This Role
airflowhadoopjavajavascriptkuberneteslinux
Full Job Posting
Responsibilities
- Lead a team of individuals, meeting regularly to discuss performance, development, and provide feedback and coaching, and set and communicate individual and team priorities.
- Manage customer issues through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity.
- Understand Google's product technology and architectures by troubleshooting, reproducing, determining the root cause for customer-reported issues, and build tools for faster diagnosis.
- Act as a consultant and subject matter expert for stakeholders in developing, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as part of a team of developers/consultants that globally ensure 24-hour customer support, which includes sometimes working non-standard work hours or shifts.
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 13 years of experience troubleshooting and advocating for customers' needs, and triaging technical issues (e.g., hardware, software, application, operational, process).
- 13 years of experience with 2 or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP.
- Experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript) or in system design.
- Experience with Linux/Unix or a related operating system (e.g., Kernel to Shell, file systems, client-server protocols, etc.).
Preferred qualifications:
- Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks.
- Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products (e.g., Apache Airflow, Apache Beam).
- Experience in data analytics, warehousing, ETL development, data science, or other Big Data applications.
- Knowledge of networking fundamentals (e.g., TCP/IP, Routing, VPNs, VLANs, Peering, Load Balancing, etc).
- Knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc).
- Excellent attention to detail, troubleshooting, and written and verbal communication skills.
About Google
Technology10,001+Founded 1998
Technology company specializing in search, advertising, cloud computing, and AI
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