AWS India

Software Development, Data Engineering, selling partner services

DataEngineer

₹9–13L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“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.

Software Development, Data Engineering, selling partner services
Problems you'll solve

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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