Practice Customer Engineer, Data Analytics
Google · Mumbai, Maharashtra, India
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- On site
- Full-time
- ₹150,000 / year
- Mumbai, Maharashtra, India
Job highlights
- Drive cloud adoption by solving customer technical issues.
- Design and implement creative cloud solutions for businesses.
- Engage in proofs-of-concept and troubleshoot technical roadblocks.
- Present Google Cloud solutions to diverse audiences.
- Collaborate with sales, product, and engineering teams.
About the role
About The Job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.As a Practice Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
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.
Responsibilities
- Support local business teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle.
- Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
- Take responsibility for leading technical projects, including activities such as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
- Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments.
- Travel as required.
- Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) response documents.
Key skills/competency
- Data Analytics
- Cloud Computing
- Technical Sales
- Customer Engineering
- Data Systems Architecture
- Apache Spark
- Data Warehousing
- ETL
- Google Cloud Platform
- Problem-Solving
Skills & topics
- Data Analytics
- Cloud Computing
- Technical Sales
- Customer Engineer
- Data Systems Architecture
- Apache Spark
- Data Warehousing
- ETL
- Google Cloud Platform
- Problem-Solving
- Python
- Scala
- Go
- Linux
- Big Data
How to get hired
- Tailor your resume: Highlight your experience with data analytics, cloud computing, and technical sales, specifically mentioning Apache Spark and data warehousing solutions.
- Showcase your expertise: Emphasize your customer-facing experience and ability to architect data systems and cloud solutions.
- Prepare for technical questions: Be ready to discuss data systems architecture, ETL processes, and cloud-based data solutions.
- Demonstrate communication skills: Practice articulating complex technical concepts clearly and persuasively for customer presentations.
- Understand Google's culture: Research Google Cloud's mission and values to align your application and interview responses.
Technical preparation
Master data systems architecture principles.,Practice Apache Spark and data warehousing concepts.,Develop cloud-native data solutions.,Prepare coding samples in Python or Scala.
Behavioral questions
Describe a complex customer problem you solved.,How do you tailor technical solutions to business needs?,Share an experience presenting technical concepts.,How do you stay updated on industry trends?
Frequently asked questions
- What are the key technical skills required for a Practice Customer Engineer Data Analytics at Google?
- The Practice Customer Engineer, Data Analytics role at Google requires a strong foundation in data analytics, cloud computing, and technical sales. Key skills include experience with Apache Spark, data warehousing solutions (like Teradata, Netezza, Vertica, SQL Server), and big data technologies. A solid understanding of data systems architecture, ETL processes, and cloud-based data lifecycle management is crucial. Proficiency in coding languages such as Python, Scala, or Go is also highly valued.
- What is the typical work arrangement for this Practice Customer Engineer role at Google?
- This Practice Customer Engineer role at Google involves a hybrid work arrangement. While you will have the opportunity to choose your preferred working location from Mumbai, Maharashtra, India or Bengaluru, Karnataka, India, travel is required as needed to support local business teams and engage with customers.
- How can I best highlight my experience for the Practice Customer Engineer Data Analytics position at Google?
- To best highlight your experience for this role, focus on quantifying your achievements in technical sales, customer-facing roles, and cloud environments. Specifically, detail your involvement in designing and implementing data warehousing, data lakes, or real-time event processing solutions. Mention your experience with schema design, query optimization, and distributed systems. If you have experience with Google Cloud Platform products, be sure to elaborate on those projects.
- What kind of projects will I be working on as a Practice Customer Engineer Data Analytics at Google?
- As a Practice Customer Engineer, Data Analytics at Google, you will work on a variety of projects focused on helping customers leverage Google Cloud for their data needs. This includes supporting business teams in critical opportunities, conducting technical discoveries, architecting client solutions, leading technical projects, and performing proofs-of-concept. You will also demonstrate and prototype integrations with Google Cloud Platform products and prepare technical presentations for customers.
- Does Google Cloud offer opportunities for professional development for a Practice Customer Engineer?
- Yes, Google Cloud is committed to employee growth and development. As a Practice Customer Engineer, you'll have opportunities to deepen your expertise in data analytics and cloud technologies, stay on top of industry trends, and work closely with product marketing and engineering teams. Google fosters an environment of continuous learning and encourages employees to expand their skill sets.