Data Engineer, WW Returns & ReComm Tech& Inn

Amazon is hiring a Data Engineer, WW Returns & ReComm Tech& Inn in Hyderabad, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable, reliable and efficient data system to support the fast growing business. You will work with analytic tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun.

About the team
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed data warehousing, querying and reporting system.

Basic qualifications

- 2+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Knowledge of AWS Infrastructure
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Strong analytical and problem solving skills. Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment

Preferred qualifications

- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Proven track record of strong interpersonal and communication (verbal and written) skills.
- Experience developing insights across various areas of customer-related data: financial, product, and marketing
- Proven problem solving skills, attention to detail, and exceptional organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations

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.

How we rate this

Data Engineer, WW Returns & ReComm Tech& Inn at Amazon rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.