Amazon is hiring for a Data Engineer position in Bengaluru. This opportunity is suitable for candidates with a bachelor’s degree in computer science, computer engineering, information systems, or a related discipline and 1+ years of experience in data engineering. Interested and eligible candidates can read more details below.

About Amazon:

Amazon is guided by four principles: 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 change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

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Amazon Off Campus 2026:

Company Name Amazon
Post Name Data Engineer
Expected Salary up to ₹8 LPA*
Job Location Bengaluru
JobType 1+ Years
Website  anazon.com
Last date to apply Apply ASAP

*The salary/stipend (if stated) here is an estimation and has been collected from various sources such as Glassdoor, Ambitionbox, Quora etc. We do not guarantee the accuracy of the stated amount.

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Amazon Career 2026 Responsibilities:

  • Designing and operating scalable and cost-effective data infrastructure using AWS technologies.

  • Building and maintaining data pipelines for reporting, analytics, and machine learning or LLM use cases

  • Define logical data models and architectures that scale with Paragon’s growth into Emerging Marketplaces and worldwide use cases.

  • Work with business owners and technical teams to understand requirements and develop appropriate data solutions.

  • Drive Best-At-Amazon (BAA) standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.

  • Enable efficient data exploration on large datasets and implement data access controls for stand-alone datasets.

  • Contributing throughout the data engineering lifecycle, including design, development, testing, deployment, and maintenance.

Amazon Recruitment Eligibility Criteria:

  • Bachelor’s degree or above in
    – Computer Science
    – Computer Engineering
    – Information Management
    – Information Systems
    – Related discipline
  • 1+ years of data engineering experience

Preferred skill:

  • Experience with SQL
  • 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)

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Amazon Recruitment Selection Process:

The Amazon selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

  1. Online Application: The process begins with candidates submitting their applications through Amazon official careers website. Providing accurate and comprehensive information on your resume and application is essential.
  2. Resume Screening: The Company recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
  3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
  4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities
  5. Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
  6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
  7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the Amazon onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the Amazon selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

 

Why Join Amazon?

  • Work-life balance
  • Professional development
  • Financial and retirement
  • Child care and parental leave
  • Office perks
  • Health insurance and wellness
  • Vacation and time off

How to Apply for Amazon Recruitment 2026?

To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:

  1. Click on the “Apply here” button provided below. You will be redirected to the official career page.
  2. Click on “Apply”.
  3. If you have not registered before, create an account.
  4. After registration, log in and fill in the application form with all the necessary details.
  5. Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
  6. Verify that all the details entered are correct.
  7. Submit the application form after verification.

If you face any issues while applying. Do let us know in the comment section.

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Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.