Amazon is Hiring | Data Engineer

Frequent Jobs; Karnataka; On-site; INR 558,000 - 682,000; Full time

Job summary

Amazon is hiring a Data Engineer in India (Karnataka) with 1–2 years of experience. The role focuses on designing scalable data infrastructure on AWS, building ETL pipelines, and delivering data solutions for Paragon’s data platform used across teams.

The position requires a Bachelor’s or Master’s degree and proficiency in SQL, Python, and data modeling. Salary is up to 6.2 LPA, with last date as soon as possible.

Qualifications

• Bachelor’s or Master’s Degree in a related field.
• 1–2 years of relevant data engineering experience.
• Strong data analytical skills related to visualization tools (Power BI, PowerApps, etc.).
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL, HiveQL, SparkSQL, or similar query languages.
• Experience with Python or KornShell scripting.

Responsibilities

• Design and operate scalable data infrastructure and pipelines on native AWS technologies for reporting, analytics, and ML models.
• Define logical data models and architectures to scale with growth and global use cases.
• Collaborate with business owners and tech leaders to gather requirements and deliver data solutions.
• Uphold Best-At-Amazon (BAA) standards for efficiency, availability, consistency and compliance.

Skills

Power BI

PowerApps

Data modeling

Data warehousing

ETL pipelines

SQL

Python

Scala

HiveQL

SparkSQL

KornShell

AWS

Education

Bachelor's or Master's Degree

Tools

AWS

Job description

Amazon is Hiring for Data Engineer Role. All the Candidates who completed Bachelor’s Degree are eligible.

Job Description

• Company Name: Amazon
• Job Role: Data Engineer
• Qualification: Bachelor’s or Master’s Degree
• Batch: 2025-26
• Experience: 1-2 yrs
• Salary: Upto 6.2 LPA (Expected)
• Last Date: As soon as possible.

Job Role & Responsibilities

• Design and operate scalable, cost-effective data infrastructure and pipelines on native AWS technologies, curating data for reporting, analytics, and LLM/ML models.
• Define logical data models and architectures that scale with Paragon’s growth into Emerging Marketplaces and worldwide use cases.
• Partner with business owners and technical leaders to gather requirements, shape data architecture, and deliver solutions that meet real business needs.
• Drive Best-At-Amazon (BAA) standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.

Eligibility Criteria

• Experience: 1-2 yrs
• Degree: Strong data analytical skills related to visualization tools (Power BI, PowerApps, etc.).
  Skills: 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 SKILLS

• Intellectually curious, eager to learn new things with an eye towards innovation
• Strategic, able to focus on business goals
• Excellent, at solving unstructured problems independently
• Highly organized, able to prioritize multiple tasks
• Strong, communicators able to build relationships with key stakeholder
• Problem Solving mindset.

ABOUT COMPANY

Amazon’s Selling Partner Insights and Analytics (SPIA) team is looking for an experienced Data Engineer to help architect and build the data platform that powers Paragon, Amazon’s second-largest Human-in-the-Loop platform. Paragon processes over 500 million cases every year and serves 200+ teams and 70,000+ users who handle support and investigation work across Selling Partner Services.