Data Engineer-I, SmartCommerce

Amazon Inc.; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Amazon seeks a Data Engineer for its SmartCommerce analytics team in Bengaluru. You will design and maintain data solutions for SmartBiz, focusing on scalable data pipelines and robust data models to support a growing e-commerce initiative.

The role requires hands-on experience with ETL, data warehousing, and cloud data services, including AWS Redshift, S3, Glue, EMR, and Kinesis. You will collaborate across teams to deliver reliable data insights and drive operational excellence.

Qualifications

• 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 required.

Responsibilities

• Design, build and maintain complex data solutions for Amazon's SmartCommerce businesses.
• Participate in code reviews, design discussions and team planning; identify problems and propose solutions.
• Make trade-offs and reuse where possible; manage dependencies judiciously.
• Use resources efficiently (hardware, storage, AWS infra) and optimize queries.
• Ask the right questions when data models are unclear and design scalable, maintainable solutions.
• Evolve data architecture with enhancements like auditing, automation and data quality improvements.
• Own data quality of important datasets and changes.

Skills

Data modeling

ETL pipelines

SQL

Python

HiveQL

SparkSQL

Scala

Education

Bachelor's degree

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM

Firehose

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

Basic Qualifications

• - 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

Preferred Qualifications

• - 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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