Latest Vacancies at Amazon Web Service

Job Description

• As a Public Sector Account Manager you will have the exciting opportunity to help drive the growth and shape the future of an emerging technology and increase adoption and market segment presence of AWS in the South African Public Sector. The ideal candidate will possess both a sales / account management and technical background that enables them to drive an engagement at the executive level as well as with software developers and IT architects. You will be a self-starter who is prepared to develop and execute against a territory coverage plan and consistently deliver results.

Roles & Responsibilities:

•  Help to drive business growth and expansion in a defined territory.
•  Suggest and execute against a territory plan.
•  Manage numerous accounts concurrently & long-term.
•  Articulate compelling value propositions around AWS services.
•  Accelerate customer adoption.
•  Work with partners to extend reach & drive adoption.
•  Ensure customer satisfaction.
•  Limited travel.

BASIC QUALIFICATIONS

•  Substantial technology related sales, business development, or sales engineering/consulting experience
•  BA/BS degree or equivalent required.
•  Strong verbal and written communications skills; fluent English
•  Public Sector account management experience.

PREFERRED QUALIFICATIONS

•  A technical background in engineering, computer science, or MIS a plus.
•  SaaS/Cloud experience.

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DESCRIPTION

• Are you a Data Analytics specialist? Do you have Data Warehousing, Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
• At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop, deliver and implement AI, IOT, and data analytics projects that help our customers leverage their data to develop business insights. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real-time data processing, Data and Business intelligence.
• This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.

Responsibilities include:

•  Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift.
•  Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
•  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.
•  Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
•  Innovate - Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
• Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae

BASIC QUALIFICATIONS

•  Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
•  8+ years of experience of IT platform implementation in a technical and analytical role
•  5+ years of experience of Data Lake/Hadoop platform implementation
•  3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
•  Experience Apache Hadoop and the Hadoop ecosystem
•  Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro)
•  Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
•  Experience developing software code in one or more programming languages (Java, Python, etc)

PREFERRED QUALIFICATIONS

•  Ability to think strategically about business, product, and technical challenges in an enterprise environment
•  Masters or PhD in Computer Science, Physics, Engineering or Math
•  Hands on experience leading large-scale global data warehousing and analytics projects
•  Ability to collaborate effectively across organizations
•  Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
•  Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
•  Implementing AWS services in a variety of distributed computing, enterprise environments
•  Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
•  Desire and ability to interact with different levels of the organization from development to C-Level executives

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DESCRIPTION

• At Amazon Web Services (AWS), we’re hiring highly technical Data and Machine Learning engineers to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, Data and Analytics, HPC and more.
• In this role, you will work with our partners, customers and focus on our AWS offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker and more. You will help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.
• AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
• You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams.
• The ideal candidate will have extensive experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties.
• This is a customer facing role. You will be required to travel to client locations and deliver professional services when needed.
• Amazon is an equal opportunities employer, and we value your passion to discover, invent, simplify and build. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief. Amazon is strongly committed to diversity within its community and especially welcomes applications from South African citizens who are members of designated groups who may contribute to Employment Equity within the workplace and the further diversification of ideas. In this regard, the relevant laws and principles associated with Employment Equity will be considered when appointing potential candidates. We are required by law to verify your ability to work lawfully in South Africa. Amazon requires that you submit a copy of either your identity document or your passport and any applicable work permit if you are a foreign national, along with an updated curriculum vitae

BASIC QUALIFICATIONS

• Basic Qualifications
•  Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
•  8+ years of experience of Data platform implementation
•  3+ years of hands-on experience in implementation and performance tuning of Kinesis, Kafka, Spark or similar implementations
•  Hands on experience with building data or machine learning pipeline
•  Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis)
•  Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc)
•  Current experience with hands-on implementation

PREFERRED QUALIFICATIONS

• Preferred Qualifications
•  Masters or PhD in Computer Science, Physics, Engineering or Math.
•  Familiar with Machine learning concepts
•  Hands on experience working on large-scale data science/data analytics projects
•  Hands-on experience with technologies such as AWS, Hadoop, Spark, Spark SQL, MLib or Storm/Samza.
•  Experience Implementing AWS services in a variety of distributed computing, enterprise environments.
•  Experience with at least one of the modern distributed Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, MxNet Caffe, and Keras.
•  Experience building large-scale machine-learning infrastructure that have been successfully delivered to customers.
•  Experience defining system architectures and exploring technical feasibility trade-offs.
•  3+ years experiences developing cloud software services and an understanding of design for scalability, performance and reliability.
•  Ability to prototype and evaluate applications and interaction methodologies.
•  Experience with AWS technology stack.
•  Written and verbal technical communication skills with an ability to present complex technical information in a clear and concise manner to a variety of audiences.