Prototyping Data Engineer - Amazon - Singapore

Job Reference: 1
Employer/Agency: Amazon Web Services Singapore Private Limited
Location: Singapore
Salary/Package: On application
Job Sector: General Management & Consulting
Date Posted:
Closing Date:

Job Description

The digital revolution is changing everything. This disruption is occurring everywhere, fueled by a rapidly growing technology stack that will impact virtually any industry, from consumer products, retail and healthcare to highly complex industrial engineering like automotive and aerospace. AWS is uniquely positioned to help our customers build the agility required to compete in these evolving marketplaces.

Core to Amazon’s innovation DNA is its methodology around executing experiments and prototypes to find the quickest and cheapest way to prove new ideas, technologies and business models in a real-world environment. Our Digital Innovation program is designed to help our customers leverage this new way of working to deliver tangible solutions using lean principles, iterative agile development, multi- functional teams and lightweight development concepts like micro services on the cloud.

The role of a Data will apply these methods to assemble and deliver solutions for the world’s leading clients. Do you have an entrepreneurial mindset, constantly challenge the norm and looking for better solutions? Do you have a Lean startup mentality with a good imagination and startup commercial acumen? Are you passionate about technology, understand digital architectures & platforms and quick to pick up emerging technologies? Have you built a reputation for innovation, using technology, across the full stack, creatively to solve business problems? Do you naturally build strong relationships with colleagues and work collaboratively to bring solutions to the market?

Amazon is seeking an outstanding Data Engineer/Architect to join the AWS APAC Prototyping Team to support our rapidly growing and dynamic business. As part of an agile digital development team you will support AWS customers to develop prototypes specific to their articulated strategic vision for new products and services. So, if you are someone who innovates, likes solving hard problems and working on cutting edge technology, we would love to have you on the team! The Digital prototyping team is a hands-on team of cross functional developers supporting AWS customers to build rapid MVP experiments adapted to their specific, innovation focused, use cases. The job is based in Singapore and will cover the APAC region, with significant traveling to customer sites.

· Design, develop, troubleshoot, evaluate, deploy and document data management and business intelligence systems for customer and internal applications
· Provide data storage and processing subject matter expertise (SME) as key member of software team
· Helps engineering teams understand their data and processing options to build effective solutions
· Adheres to software development best practices related to persistent data.
· Build secure, available, scalable, stable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices
· Articulate and update clients on status of prototyping engagements
· Keep up to date on AWS services and feature developments.
· Responsible for educating clients and partners on best practices around innovation

Basic Qualifications

Bachelor’s degree in Computer Science or related field
5+ years of experience in Data Engineering/Analytics, Data Modelling and design
Able to demonstrate strong competency in various machine learning technologies and programming
Excellent communications skills with the ability to obtain buy- in from senior stakeholders
A data lover and constantly looking at innovative solutions to further improve data analytics capabilities
Experience with DB technology across SQL and No-SQL architectures, as well as exposure to DW (Oracle, Teradata, Hadoop, etc.) and relevant data modeling practices
Experience with AWS services highly desirable, particularly Lambda, Kinesis, DynamoDB, Redshift
Computer Science fundamentals in object-oriented design, data structures, algorithm design
Preferred Qualifications

Ability to take a project from initial scoping requirements through actual design, development and testing
Ability to handle multiple competing priorities in a fast-paced environment
Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations
Proactively and continually improve knowledge of AWS relevant technologies
Ability to handle working with multiple partners and customer engagements while providing overall delivery oversight and timelines


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