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    Job · 20656193

    HYDERABAD · FULLTIME

    Data Engineer II, GTS, GTS

    Amazon

    Amazon

    Hyderabad · onsite · Posted 12d ago

    Sourced fromFoundit
    Not disclosed3–5 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Description

    Are you interested in helping build a world-class transportation network for Amazon as we delight our customers with more 1 day promises and also meet our sustainability targets Do you want to develop data infrastructure to influence the network design of one of the most complex transportation network in the world

    The Data Engineer II in the Network Design Planning & Engineering (NDPE) team within the Global Transportation Services (GTS) organization holds the responsibility for building data engineering solutions that facilitate model developments, to propose designs that reduce cost to serve and improve customer speed.

    Key job responsibilities

    Design and implement data pipelines for the different Network design programs.

    Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows.

    Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis.

    Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements.

    Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements

    Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother.

    Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance.

    Basic Qualifications

    • 3+ years of data engineering experience
    • 4+ years of SQL experience
    • Experience with data modeling, warehousing and building ETL pipelines

    Preferred Qualifications

    • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
    • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

    Company - ADCI HYD 13 SEZ

    Job ID: A10452789

    Sourced from foundit

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    Section · 02

    Skills

    Aws GlueWarehousinggraph databasesobject storagekey-value storesIAM roles and permissionscolumn-family databasesnon-relational databasesData EngineeringPythonSQLETL PipelinesData Modeling

    Section · Company

    About Amazon

    Amazon

    Amazon

    Internet

    120k+

    employees

    1994

    32 years old

    Hyderabad / Secunderabad, Telangana

    India

    About

    Amazon is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

    Industries

    InternetRetailUrban TransportLogisticsEmerging TechnologiesIT Services & Consulting

    Employee ratings

    31,409 reviews

    3.9/ 5

    Culture

    4.0

    Career growth

    3.2

    Work-life

    3.8

    Employees rate it well for

    Work Culture3746Salary2936Work Life Balance2821Senior Management1830Career Growth1598

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