Data Engineer, WW Returns & ReComm Tech& Inn
Hyderabad · On-site · 2+ yrs · Mid · Full-time
- sql
- python
- aws
- hiveql
- sparksql
- scala
Data engineer for reverse logistics platform at Amazon Hyderabad, building scalable data warehousing and ETL systems.
Apply on Amazon's site Ask for a referral Interview prep
Interview prep: questions this posting points to
- Walk me through how you would design an ETL pipeline on AWS Glue and Redshift that consolidates finance data from 11 countries into a single unified dataset tracking 500+ operational and cost metrics at daily granularity. How would you structure it so that a new country can be onboarded without rewriting the pipeline?
- It's the morning before a weekly business review and the finance team's cost-performance dashboard is showing numbers that don't reconcile between finance, stores, and operations datasets. Walk me through how you'd triage this.
- These teams are actively migrating legacy systems to AWS and consolidating data from 11 countries and 100+ finance users. Tell me about a time you had to manage a complex data migration while keeping the old system running. What went wrong, and how did you handle it?
Read the full job description
The Data Engineer will own the data infrastructure for the Reverse Logistics Team which includes collaboration with software development teams to build the data infrastructure and maintain a highly scalable, reliable and efficient data system to support the fast growing business. You will work with analytic tools, can write excellent SQL scripts, optimize performance of SQL queries and can partner with internal customers to answer key business questions. We look for candidates who are self-motivated, flexible, hardworking and who like to have fun.
About the team
Reverse Logistics team at Amazon Hyderabad Development Center is an agile team whose charter is to deliver the next generation of Reverse Logistics platform. As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed data warehousing, querying and reporting system.
Basic qualifications
- 2+ 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) - Knowledge of AWS Infrastructure - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Strong analytical and problem solving skills. Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment
Preferred qualifications
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics - Proven track record of strong interpersonal and communication (verbal and written) skills. - Experience developing insights across various areas of customer-related data: financial, product, and marketing - Proven problem solving skills, attention to detail, and exceptional organizational skills - Ability to deal with ambiguity and competing objectives in a fast paced environment - Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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