• Data Engineer - AWS Professional Services

    Location US-WA-Seattle
    Posted Date 4 months ago(2/2/2018 9:42 AM)
    Job ID
    562318
    Company
    Amazon Web Services, Inc.
    Position Category
    Business Intelligence
  • Job Description

    At AWS, we are building a global team of technical cloud computing architects to help our partners develop technical expertise and capacity, and to work on enterprise customer engagements around the world.
    Within AWS, our Professional Services team works with enterprise customers around the world migrate and helps our partners develop technical expertise and capacity supporting these customers.

    At Amazon, data drives the way we make decisions. To help grow and scale the Professional Services business, we are looking for a Data Engineer with strong organizational, collaboration, and communication skills. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term automated solutions. It will be a person who likes to have fun, loves to learn, and is interested in helping enterprise customers leverage AWS for automation.
    • Work with our Professional Services business team to analyze, extract, normalize, and automate relevant data.
    • Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics and deep learning.
    • Implement data structures using best practices in data modeling, ETL/ELT processes and AWS Redshift, Oracle, and OLAP technologies.
    • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
    • Leverage data visualization techniques with BI tools to provide insight and analysis.

    Basic Qualifications

    • 7+ years of experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
    • Demonstrated strength in architecting data warehouse solutions and integrating technical components
    • 4+ years of experience with relational and star schema data modeling concepts
    • Strong analytical skills with excellent knowledge of Oracle SQL, MySQL, or PostgreSQL and PL/SQL.
    • 4+ years of work experience with very large data warehousing environment
    • Excellent communication skills, both written and verbal

    Preferred Qualifications


    • Experience in gathering requirements and formulating business metrics for reporting.
    • Experience with Informatica, Tableau, OBIEE, AWS Redshift, AWS QuickSight is preferred.
    • Expert understanding of ETL techniques and best practices to handle extremely large volume of data.
    • Good understanding of the cloud industry.
    • Python programming skills
    • Ability to leverage Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
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