Data Engineer I, Paragon

Benefits

Parental leave

Not verified not verified - source not recorded; timestamp not recorded

Non-birth-parent leave

Not verified not verified - source not recorded; timestamp not recorded

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer I, Paragon Bengaluru, Karnataka, IND 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

Read the full description at www.amazon.jobs. FewerJobs shows a source-linked preview and links to the original posting.