Data Engineer I
Amazon
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This role on the market
9,420 open data roles across 953 companies are on ApplySarthi right now, most of them in Bengaluru (509), Hyderabad (334), Mumbai (159).
- Data AnalystGartner · delhi ncr
- Full-Stack AI Engineer / Data Scientist – Agentic SystemsRoche · hyderabad
- Client Account Services (CAS) - Reference Data Analyst, Fund ServicesJPMorgan
- Senior Data ScientistCarrier · bengaluru
- Lead Principal Data Center Facilities Development Manager - DC Infrastructure DeliveryOracle
What data roles keep asking for: Python (38%), SQL (33%), AWS (30%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
Data Engineer jobs in Bengaluru · Data Engineer jobs in India · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · ETL jobs · Hadoop jobs
Amazon has 16,722 open roles listed here.
- Data Center Logistics Specialist, Data Center Logistics Specialistmumbai
- Applied Scientist II, Detail Pagebengaluru
- Data Engineer, MIDAS, Digital Accelerationchennai
- Data Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)bengaluru
- Electrical Design Engineer, APAC Data Center Design Engineeringmumbai
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, 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.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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 I at Amazon interview free →Do you have the technical skill to build BI solutions that process billions of rows a day using AWS technologies? Do you want to create next-generation tools for intuitive data access? Do you wake up in 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 2026-10-19. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.