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Amazon is hiring for a Data Engineer I as part of the Off Campus Drive 2026. This role focuses on building scalable data pipelines, data warehousing, and analytics solutions within the ISS Central Analytics Data Engineering team.
You will work with engineers, scientists, and economists to transform ML research into customer-facing data infrastructure. The position requires 1+ years of data engineering experience, strong SQL skills, and hands-on with Hadoop/Spark/Hive, as well as AWS-based tools.
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Amazon Recruitment 2026 : Amazon has announced its 2026 recruitment drive for the role of Data Engineer I. This opportunity is open to candidates who hold B.E, B.Tech, or B.Sc degrees and have relevant experience in data engineering. Job seekers looking for positions in Bengaluru or Hyderabad can make the most of this opportunity.
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As part of the International Seller Services (ISS) - Central Analytics Data Engineering team, you will work alongside Applied Scientists, Data Scientists, and Economists. The team focuses on transforming machine learning, deep learning, and AI research into impactful customer-facing products. Amazon is looking for a motivated and skilled Data Engineer who can help build and scale data and ML infrastructure that supports innovation and experimentation.
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Amazon Recruitment 2026 for the Data Engineer I role is a great opportunity for candidates with a strong foundation in data engineering and a passion for working with large-scale data systems. With competitive pay, exposure to advanced technologies, and the chance to work alongside top data and ML professionals, this role offers excellent career growth.
1. Who can apply for the Amazon Off Campus Drive 2026?
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Candidates who have completed B.E, B.Tech, or B.Sc and have at least 1 year of relevant data engineering experience are eligible to apply for the Data Engineer I role.
2. What is the job location for this role?
The job locations for the Amazon Data Engineer I position are Bengaluru and Hyderabad.
3. Is prior experience mandatory for this role?
Yes, Amazon requires a minimum of 1+ years of experience in data engineering or a related field. Hands-on experience with ETL pipelines, SQL, and data warehousing is preferred.
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4. What technical skills are important to clear the selection process?
Candidates should have strong knowledge of SQL, data modeling, ETL/ELT processes, and scripting languages like Python. Familiarity with big data tools (Hadoop, Spark, Hive) and AWS services will be an added advantage.
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Guddi is a Passionate Job Content Writer holding 5 years of Experience in this Industry.