ApplySarthi

Senior Delivery Consultant: Data Analytics, AWS Professional Services

Amazon

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This role on the market

1,513 open analytics roles across 261 companies are on ApplySarthi right now, most of them in Bengaluru (129), Hyderabad (92), Delhi NCR (58).

What analytics roles keep asking for: SQL (36%), Python (28%), Tableau (18%), Stakeholder management (12%) — counted across their open postings here.

AWS jobs · Data warehousing jobs · Databricks jobs · ETL jobs

Amazon has 14,434 open roles listed here.

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

Preparing for this interview

Interviews for analytics roles keep coming back to SQL, Python, Tableau, 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 AWS? Tell me one thing you learned the hard way.
  3. Explain a join or a window function you have used, and why you needed it.
  4. How would you explain a surprising number to a manager who does not believe it?
  5. Tell me about an analysis that changed a decision. What did you find?

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Are you a Cloud Architect with GenAI experience? Do you have real-time Data Analytics,Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineeringexperience?Do you like to solve the Basic qualifications: - 5+ years of IT platform implementation in a technical and analytical role experience - 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 5+ years of experience in data analytics implementation, with deep expertise in ETL/ELT pipeline design and deployment (e.g. Informatica, Glue, DBT, PySpark) - Hands-on experience implementing AWS and/or third-party data analytics services (e.g. Redshift, Glue, LakeFormation, Databricks, dbt, Spark) Preferred: - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - Strong understanding of Data Mesh principles — domain-oriented data ownership, data-as-a-product thinking, federated governance, data contracts, and quality SLAs - Experience designing self-serve data platforms with focus on lineage, cataloguing, and discoverability Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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 2026-08-19. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.