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Data Steward, Re:Cycle Reverse Logistics

Amazon

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This role on the market

666 open logistics roles across 93 companies are on ApplySarthi right now, most of them in Bengaluru (17), Chennai (12), Delhi NCR (9).

What logistics roles keep asking for: Supply chain (80%), Excel (29%), SAP (16%), Stakeholder management (15%), SQL (14%), ERP (12%) — counted across their open postings here.

AWS jobs · BigQuery jobs · Data modelling jobs · Data warehousing jobs

Amazon has 15,486 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for logistics roles keep coming back to Supply chain, Excel, SAP, Stakeholder management. Practise those questions before you sit with Amazon.

Questions you are likely to be asked

  1. Why do you want to join Amazon?
  2. What is your experience with Supply chain? Tell me one thing you learned the hard way.
  3. Which numbers do you track every day, and why those?
  4. Tell me about a process you made faster or cheaper.
  5. How do you handle a delay that affects a customer?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

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The re:Cycle Reverse Logistics Operations team offers worldwide cloud computing providers with a centralized means to disassemble, sort, function test, in-warranty return, repair, erase/wipe, and disposition Basic qualifications: - Experience working with Microsoft Office tools (Excel, Word, Outlook, etc.) - 3+ years of experience in data management, data quality, data governance, or a related role within a warehousing, supply chain, manufacturing, or reverse logistics environment - Bachelor's degree in Data Science, Computer Science, Information Systems, or related field — OR 4+ additional years of related experience in lieu of a degree Preferred: - Hands on SQL experience in a data warehouse environment (Redshift, Snowflake, BigQuery, or similar), including window functions, CTEs, and cross database queries - Experience designing or maintaining data quality audit mechanisms, validation frameworks, or automated monitoring scripts - Experience with ETL/ELT pipelines, data warehouse technical architectures, data modeling, and data flow from source systems to consumption layers - Experience authoring data governance policies, data standards, or compliance documentation - Experience managing a third party vendor relationship for technical root cause and resolution - Familiarity with AWS data stack (Redshift, S3, Glue, or similar cloud data infrastructure) - Experience defining data quality SLAs, KPIs, acceptance criteria, or incident prioritization frameworks based on consumer input Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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.

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Listed on amazon · posted 2026-10-07. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.