Data Analysis jobs in Singapore

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

As part of the team in this growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Customer Data Analytics Solutions Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect data processing systems, build data pipelines, and resolve platform challenges. You will collaborate with Google’s cloud customers and our team to implement Google Cloud products.

• Act as a trusted technical advisor to customers and solve Big Data challenges, as well as, analyze database environments and consult on the optimal design for performance and deployment on Google Cloud Platform (GCP).
• Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring the approach to different stakeholders.
• Manage customer issues through diagnosis, resolution, or implementation of new tools to increase productivity for customer issues on GCP products.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations.
• Participate in rotating on‑call schedules including nights, weekends and holidays, to ensure prompt and proper resolution of customer‑impacting technical challenges, as well as travel up to 15% in‑region for meetings and onsite delivery activities.

• Bachelor’s degree or equivalent practical experience.
• 6 years of experience in technical support, professional services, or software development, including managing client‑facing projects, troubleshooting, and working with Engineering and Sales teams.
• Experience with data processing software (e.g., Hadoop, Spark, Hive) and algorithms (e.g., MapReduce, Flume).
• Experience testing, maintaining, or launching software products, including design, architecture, and writing software in Java, C++, or Python.
• Ability to participate in on‑call rotation, which may occur outside of standard working hours, including nights, weekends and holidays.
• Ability to communicate in English and Mandarin to support client relationship management in this region.

• Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
• Experience working with Big Data, information retrieval, data mining, or machine learning.
• Experience in building multi‑tier high availability applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow).
• Experience architecting, developing software, or internet‑scale production‑grade Big Data solutions in virtualized environments.
• Experience in technical consulting.