Java Python TSQL NoSQL Cloud Coumputing Hadoop AWS IoT Solr Kafka Spark Machine Learning

Job summary 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...

Job summary
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, when needed, you might be required to work at client locations and deliver professional services.

Key job responsibilities
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


BASIC QUALIFICATIONS

Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent
professional or military experience
• 5+ years of experience of IT platform implementation in a technical and analytical role
• 3+ 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


Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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