• Principal Specialist, Big Data

    Location IN-DL-New Delhi
    Posted Date 4 weeks ago(20-09-2018 12:20)
    Job ID
    653738
    Company
    Amazon Internet Services Private Limited (Delhi)
    Company/Location (search) : Country (Full Name)
    India
  • Job Description


    Open for Delhi/Mumbai/Bangalore


    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?

    At AWS Enterprise Support we are looking for a Specialist Technical Account Manager (STAM) – Big Data & Analytics to support our customers across Asia-Pacific, Japan and China (APJC). You would be one of the founding members of a dynamic Asia-Pacific, Japan and China (APJC) team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations. Helping to plan, debug, and oversee business critical Big Data applications and migrations.
    As a Specialist TAM - Big Data & Analytics, you will work hand-in-hand with Technical Account Managers, Solutions Architecture, Business Development, Professional Services and Sales. You will collaborate with our customers and partners on achieving operational excellence, post 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.

    Basic Qualifications

    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.
    • A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
    • The location is based in India office, but work across an Asia-Pacific context (Australia/New Zealand, ASEAN, Singapore, Japan and China).

    Preferred Qualifications

    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 math highly desired.
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