AWS India
Software Development, Data Engineering, selling partner services
DataEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Engineer at AWS India. Skills: Data Engineering, ETL, Data Infrastructure. Design automation. Implement automation”
What You'll Achieve.
Achieve BAA standards; Deliver high quality results
Industry & Context.
Data insights; Analytics
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience with PL/SQL, Experience with DDL, Experience with MDX, Experience with HiveQL, Experience with SparkSQL, Experience with Scala, Experience with Python, Experience with KornShell
Nice to Have
Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience with Informatica, Experience with ODI, Experience with SSIS, Experience with BODI, Experience with Datastage
What You'll Do.
Manage data infrastructure
Enable data exploration
Enable data experimentation
Implement data access control
Design data infrastructure
Implement data infrastructure
Drive operational excellence
Build automation for operations
How You'll Work.
Team & Collaboration
Collaborative environment; Accomplished engineers; Working with peers; Smart engineers; Talented engineers
Communication Scope
Verbal communication; Written communication
Full Job Description
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders. Key job responsibilities 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management. 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets 4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. 7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations 8. Enjoy working closely with your peers in a group of very smart an
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