Data Engineer, MIDAS, Digital Acceleration
Amazon
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Skills named in this job
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This role on the market
104 open acceleration roles across 27 companies are on ApplySarthi right now, most of them in Chennai (4), Bengaluru (2).
- Member of Data Staff (Data Acceleration)Perplexity
- Senior Talent Development Leader, Talent Acceleration ProductsGusto, Inc.
- ML Infrastructure & Acceleration Engineer - LLMsProsus
- Software Engineer, Engineering AccelerationOmnea
- Healthcare Professional - Contracting Specialist (PwC Acceleration Center Kuala Lumpur)Pwc
What acceleration roles keep asking for: AWS (30%), Python (20%), Machine learning (14%) — counted across their open postings here.
Data Engineer jobs in India · Remote Data Engineer jobs · Data modelling jobs · ETL jobs · Hadoop jobs · Python jobs
Amazon has 16,717 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
- Applied Scientist II, Detail Pagebengaluru
- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
- Marketplace Consultant, UAE 3P Marketplacebengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for acceleration roles keep coming back to AWS, Python, Machine learning. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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.
Practise the Data Engineer, MIDAS, Digital Acceleration at Amazon interview free →Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you Basic qualifications: - 1+ 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) Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. 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 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.