Bachelor’s degree, in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience - 12+ 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) - Ability to communicate fluently in English and Spanish, in technical and business settings (verbal and written). 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? 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. 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. Key job responsibilities 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 technical engagements with partners and customers. This includes participating in pre-sales, understanding customer requirements, creating packaged Data & Analytics service offerings. 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 About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. - 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 c