Data Engineer-I, SmartCommerce

Amazon; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Amazon's SmartCommerce team in India is seeking a skilled Data Engineer to design, build, and maintain data solutions for SmartBiz. You will work on data modeling, warehousing, and ETL pipelines using AWS services and SQL-based tooling.

You will participate in design reviews, optimize data processing, and ensure data quality across critical datasets to support a growing ecommerce initiative in India.

Qualifications

• Experience designing and building data solutions for analytics.
• Ability to model data and build scalable ETL pipelines.
• Strong SQL skills and experience with large datasets.

Responsibilities

• Design, build and maintain complex data solutions for Amazon's SmartCommerce businesses.
• Participate in code reviews, design discussions, and planning.
• Make scalable, maintainable data designs and optimize resources.
• Enhance data architecture with auditing, automation, and efficient operations.
• Own data quality for key datasets and changes.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

HiveQL

SparkSQL

Python

KornShell

Education

Bachelor's degree

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

IAM

Informatica

ODI

SSIS

Datastage

Job description

Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce platform.

Do you have solid analytical thinking, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need? Then SmartCommerce is the team for you. We are looking for top notch Data Engineers to be part of our analytics team.

The ideal candidate will be curious, have attention to detail, be energized by challenging entrepreneurial environment, be comfortable thinking big while also diving deep. Are you a smart, hungry, flexible, and world-class data engineer excited by the challenge of launching a new business initiative for Amazon?

SmartCommerce team is looking for Data Engineers to be part of a new team being built from the ground up. They will be primarily working on our product SmartBiz. SmartBiz by Amazon is a one-stop shop for Indian sellers to fulfill their online selling needs. Whether a small business, an entrepreneur, or a neighborhood store, a seller can now create their own e-commerce store within minutes and start showcasing and selling their products online.

Key job responsibilities

• 1. Responsible for designing, building and maintaining complex data solutions for Amazon's SmartCommerce businesses
• 2. Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions
• 3. Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies
• 4. Makes efficient use of resources (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.)
• 5. Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient
• 6. Makes enhancements that improve team’s data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps)
• 7. Owns the data quality of important datasets and any new changes/enhancements

• - 1+ years of data engineering experience
• - 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)
• - Bachelor's degree
• - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• - Experience writing and optimizing SQL queries with large-scale, complex datasets
• - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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