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Bengaluru · On-site

Data Engineer I

Full-timePosted
Salary
₹20–30 LPAEstimated — not stated by the employer.
Experience
1–3 years
Eligible batches
2024 · 2025 · 2026
Degree
B.E, B.Tech, B.Sc
Location
BengaluruOn-site

About the role

Amazon's International Seller Services (ISS) Central Analytics team is hiring a Data Engineer I to design, build, and maintain large‑scale data pipelines that support machine‑learning and analytics workloads. The role is based in Bangalore and requires 1+ years of experience with data modeling, ETL processes, and AWS services.

Responsibilities

  • Design, develop, and operate high‑volume data pipelines for analytics and data‑science use cases.
  • Implement robust data ingestion routines using best‑practice ETL/ELT techniques.
  • Integrate data solutions with AWS services such as EMR, Redshift, Glue, Athena, and S3.
  • Identify and apply optimizations to improve data integrity, performance, and cost efficiency.
  • Collaborate with engineers, scientists, and analysts to translate business requirements into scalable solutions.

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Picked for this role's title and skills: the questions that come up most, each with a short answer to say out loud.

Eligibility

  • B.E, B.Tech or B.Sc in Computer Science or a related discipline.
  • Minimum 1 year of hands‑on data‑engineering experience.
  • Strong knowledge of data modeling, warehousing, and building ETL pipelines.
  • Proficiency in SQL and query optimisation for large datasets.
  • Experience with scripting languages such as Python or KornShell.

Skills

SQLETL processesAWS ecosystem (EMR, Redshift, Glue, Athena, S3)Big Data technologies (Spark, Hive, Hadoop)Python or KornShell scriptingData modeling and warehousing concepts

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Asked for

  • SQL
  • ETL
  • AWS
  • Spark
  • Hive
  • Python
  • Data modeling
  • Data warehousing

Nice to have

  • Emr
  • Glue
  • Kornshell
  • Redshift
  • Athena
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Benefits

  • Competitive industry‑leading salary package.
  • Opportunity to work on massive, real‑world data sets.
  • Exposure to cutting‑edge AWS services and big‑data tools.
  • Collaboration with senior data scientists and applied researchers.
  • Professional growth within a global technology leader.

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About Amazon

American e-commerce and cloud-computing giant operating AWS, Alexa, and Amazon.com, with major engineering centres across India.

Founded 1994 · 5000+ employees · HQ Seattle, Washington, United States

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