Amazon
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Chennai · On-site · 3-6 Yrs · 5 days ago
Internet & Web Services · 10000+ Employees · Seattle, US
All Amazon teams and businesses, from Prime delivery to AWS, are guided by four key tenets: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that transform the way our customers live their lives and run their businesses.
Hiring: Engineering
What employees say
+ Good compensation, Challenging work, Great tech stack
− Work life balance, middle management, Pushing AI down SDE's throat, not transparent management
More reviews on the company profile.
Interview experience · Application Engineer
4 to 5 Rounds, Initial phone screening will be done over phone. Then followed by 2 technical rounds, which have tech questions and coding problems to solve. some times bar raiser round. Then HM round followed by HR round
Difficult difficulty · India · 10,943 reports
More interview insightsJob description
Overview
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.
Responsibilities
- Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
- Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
- Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
- Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
Qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- 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.
- Company - ADCI MAA 15 SEZ
- Job ID: A10497707
Verify Engineering for this role
Free PRACTICE for Engineering adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Engineering free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 17 September 2026
- How do I apply for Data Engineer, MIDAS, Digital Acceleration at Amazon?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Amazon may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer, MIDAS, Digital Acceleration role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer, MIDAS, Digital Acceleration remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineer, MIDAS, Digital Acceleration role at Amazon?
- This is a mid-level Data Engineer, MIDAS, Digital Acceleration role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.