: Bachelors degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
: 5+ years of experience of IT platform implementation in a highly technical and analytical role.
: 3+ years experience of Data Lake/Hadoop platform implementation, including 3+ years of hands:on experience in implementation and performance tuning Hadoop/Spark implementations.
: Ability to think strategically about business, product, and technical challenges in an enterprise environment.
: Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
: Highly technical and analytical, possessing 5 or more years of IT platform implementation experience.
: Understanding of Apache Hadoop and the Hadoop ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
: Familiarity with one or more SQL:on:Hadoop technology (Hive, Impala, Spark SQL, Presto).
: Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
: Current hands:on implementation experience required
: Ability to travel to client locations to deliver professional services when needed.
Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop/Data Lake experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? 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), were hiring highly technical cloud computing architects 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 involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.
At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof:of:concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as Machine Learning, IoT, batch/real:time data processing, Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.
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 Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (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 consulting proposals and creating packaged Data and 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 c
