• Specialist TAM (Big Data / Analytics)

    Lieu FR
    Date de publication 2 weeks ago(02-01-2019 16:30)
    Reference du poste
    767660
    Company
    AWS EMEA SARL (France Branch)
    Company/Location (search) : Country (Full Name)
    France
  • Job Description

    Are you a Big Data specialist? Do you have Data Warehousing, Data Streaming and/or Hadoop experience? Do you like to solve the most complex and high scale (billion + 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?

    Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At AWS Enterprise Support we are looking for a Specialist Technical Account Manager (STAM) to support our customers across EMEA. You would be one of the founding members of team that works with other global team members. The Specialist TAM will work hand-in-hand with Technical Account Managers, Solutions Architects, Business Development Managers, Professional Services and Account Managers. You will collaborate with our customers and partners on achieving operational excellence after migrating their Big Data solutions to the cloud. This role will specifically focus on AWS Big Data Services such as Amazon EMR, Amazon Redshift, AWS Glue, Elasticsearch and Kinesis. You’ll act as a trusted advisor and advocate for customers across EMEA region. This position will require the ability to travel 20% or more as needed.

    Basic Qualifications

    • Current hands-on implementation experience required, possessing 5 or more years of big data platform implementation experience. Experience with analytic solutions applied to the Marketing or Risk needs of enterprises.
    • 5 or more years in consultative technical sales or professional services with a proven track record of success. Ability to gain credibility and build relationships with all levels in an organisation, from technical experts to senior executives.
    • Expert understanding of ETL principles and how to apply them within Big Data workloads.
    • Be proficient in at least 2 of the following languages: Java, Scala, Python, Perl, Ruby, C, C#.
    • Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams.
    • A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
    • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.

    Preferred Qualifications

    • Familiarity with Amazon Redshift, EMR, DynamoDB, Elasticsearch, Athena, Kinesis and Glue.
    • Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
    • Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with tools such as Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro.
    • Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto.
    • Hands on experience leading large-scale big data & analytics projects.
    • Executive speaking and presentation skills – Formal presentations, white boarding, large and small group presentations.
    • Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups. AWS Certifications, e.g. AWS Solutions Architect Associate/Professional highly desirable.
    • Technical degrees in computer science, software engineering, or maths highly desired.

    Amazon is an Equal Opportunity-Affirmative Action Employer – Female / Minority / Disability / Veteran / Gender Identity / Sexual Orientation.


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