Data & Analytics Consultant
Amazon, Singapore
Job Description
Are you passionate about analytics? Would you like to help customers become more data driven to achieve their business goals? Do you want to learn the very latest in cloud web services technologies and apply them to some of the most interesting analytics workloads in the world? Are you skilled at helping customers and partners to address their Big Data and Analytics projects using cloud computing architectures?
At Amazon Web Services (AWS), we’re hiring technical Big Data and Analytics consultants to help our customers & partners develop technical expertise and capacity, and to work with our partners on key customer engagements.
Within the diverse Professional Services team, this role specializes in a variety of Big Data and Analytics aspects using cloud web services in large scale computing environments. Our Big Data and Analytics consultants deliver architecture guidance, lead projects, conduct customer workshops and implement complex data analytics workloads with our customers and partners.
Successful candidates will have business development, pre-sales, solutions architecture, and technical expertise background, be detail-driven, and have experience in delivering complex engagements.
You are comfortable with whiteboarding cloud architectures in customer workshops and then rolling up your sleeves to implement developed architectures. You are a passionate leader with the ability to gain stakeholder buy-in, communicate confidently at both the executive and project team level, and collaborate with a wide range of technical and non-technical teams regardless of geographical or organizational boundaries.
Responsibilities include:
· Consulting: Engage with customer business and IT executives to define and execute enterprise-level analytics transformation initiatives and help create compelling business cases to transition to the Cloud by identifying motivators and drivers that unlock business value for our customers.
· Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help customers and partners learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Elastic Map Reduce (EMR), Amazon SageMaker (development of advanced analytics and Machine Learning pipelines), AWS Glue (serverless Apache Spark workloads), AWS Lambda (serverless computing), etc.
· Solutions - Define and deliver on-site technical engagements with partners and customers. This includes participating in pre-sales meetings & visits, understanding customer Big Data and Analytics requirements, and proposing and delivering packaged offerings, as well as delivering custom solution engagements.
· Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
· Sales - Develop Professional Services project proposals and SOWs, and work with Professional Services account managers and practice managers to develop detailed task plans, effort estimates, and delivery timelines.
· Insights - Work with AWS engineering, support and business teams to convey partner and customer feedback as input to AWS technology roadmaps.
· Form strategic relationships with AWS technology and Systems
Job Specification
BASIC QUALIFICATIONS
·
· 10+ years of pre-sales and delivery experience of data & analytics services and solutions in industry verticals involving customers and marketing intelligence, digital supply chain, etc.
· 7+ years of hands on experience with any of the following technologies: Databases (SQL/NoSQL, MongoDB, Cassandra, MariaDB, PostgreSQL), Big Data open source tools (Hadoop, Spark), Big Data proprietary tools (Hortonworks, Cloudera) programing experience (Java, Python, R, Julia, SQL) BI tools (Tableau, Power BI, Spotfire, Microstrategy, Cognos, etc).
· 5+ years of experience in cloud technologies
· Ability to think strategically about business, product, and technical challenges.
· Strong verbal and written communications skills and ability to lead effectively across organizations.
· BS level degree required or equivalent
· Travel to customer locations may be required to support pre-sales and delivery of professional services, as needed.
PREFERRED QUALIFICATIONS
· Current, large scale project implementation experience required.
· Project experience with key vertical markets such as Financial Sector, Telecom, Utilities and Manufacturing
· Implementation of AWS services in a distributed environments with large data pipelines using technologies such as Microsoft, IBM, Oracle, HP, SAP etc.
· BS level degree in computer science, business or math background preferred.