• Data Architect - Big Data/ML

    Location IN-TS-Hyderabad
    Posted Date 1 week ago(7/8/2018 4:42 PM)
    Job ID
    Amazon Dev Center India - Hyderabad
  • Job Description

    Are you a big data & analytics expert? Have you built complex analytics systems on Presto, Spark, Flink, Beam, or Airflow platforms? Are you interested in solving the most complicated problems for customers in the areas of streaming analytics, petabyte scale log analysis, and machine learning? Do you like problems that involve scale, speed, volume, and attention to detail? Do you think big about how data can change the world, and want to have an impact on the development and delivery of new data analytics technologies and services? Would you like a career that gives you opportunities to help customers and partners use Cloud computing services to build new solutions, faster, and at lower cost?

    At AWS, we're hiring highly technical analytics architects, developers, and administrators to help our customers build and evolve their data platforms on the Cloud. You'll work directly with our customers to support proofs of concept, data migrations, support escalations, tuning activities and troubleshooting issues observed by customers running data analytics applications at scale on AWS services and EC2. As you go, you'll distil reference architectures into best practices, patterns and training for the wider AWS field teams. Through these engagements, you'll represent the voice of the customer within AWS database service engineering teams, which will help shape the roadmap for our services, and you'll be an integral part of building our global database and analytics community.
    Roles & Responsibilities
    • Develop and deliver training on data processing and analytics techniques, models and services to internal AWS technical roles, to promote technical readiness for AWS services including EMR, Spark, Glue, and integration with the wider ecosystem of data processing tools
    • Manage escalations for technical depth from AWS field sales, pre­sales, training and support teams in customer
    • Produce and validate reference architectures and technical content
    • Capture best-practice knowledge from engineering and field teams and share reference architectures and patterns amongst the worldwide AWS solution architect community
    • Represent the voice of the customer and field engagement teams with Database Services engineering teams, and communicate information to the field about service strategy
    • Collaborate with AWS field teams to build a strong worldwide Database and Analytics community

    Basic Qualifications

    • Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Database & Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
    • Possess significant experience of software development and/or IT and implementation/consulting experience.
    • 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.
    • Executive speaking and presentation skills – formal presentations, white boarding, large and small group presentations.
    • Ability to think strategically about business, product, and technical challenges in an enterprise environment.
    • Implementation and tuning experience of big data & analytics systems including Presto, Spark, Flink, Beam, Airflow or similar.
    • Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
    • Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimisation.
    • BS level technical degree required; Computer Science or Mathematics background preferred.
    • AWS Certification, eg. AWS Solutions Architect, Developer, or SysOps Associate/Professional

    Preferred Qualifications

    • Hands on experience leading large-scale global database, data warehousing and analytics projects. 

    • Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
    • Deep understanding of data, application, server, and network security
    • Hands on experience as a database, data warehouse, big data/analytics developer or administrator.
    • Experience working within the software development or Internet industries is highly desired.
    • Advanced technical degrees in computer science, software engineering, or mathematics
    • Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps.
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