Do you have the technical skill to build BI solutions that process billions of rows a day using AWS technologies Do you want to create next-generation tools for intuitive data access Do you wake up in the middle of the night with new ideas that will benefit your customers Are you persistent in bringing your ideas to fruition

First things first, you know SQL and data modelling like the back of your hand. You also need to know Big Data and MPP systems. You can explain complex concepts to your non-technical customers in straightforward terms.

Work with SDE teams and business stakeholders to understand data requirements and design data ingress flow for team

- Lead the design, model, and implementation of large, evolving, structured, semi-structured and unstructured datasets
- Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources
- Implement test automation on code implemented through unit testing and integration testing
- Work in a tech stack which is a mix of NAWS services and legacy ETL tools within Amazon

Data Insights, Metrics & Reporting team (DIMR) is the central data engineering team in Amazon Warehousing & Distribution org which is responsible for 4 things mainly -





- Building and maintaining data engineering and reporting infrastructure using NAWS to support internal/external data use-cases.
- Building data ingestions pipelines from any kind of upstream data sources which include (but not limited to) real time event streaming services, data lakes, manual file uploads, etc.
- Building mechanisms to vend data to internal team members or external sellers with right data handling techniques in place.
- Build robust data mart to support diverse use-cases powered by GenAI tool. 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)

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 for more information.

📌 Data Engineer (AWS, SQL) (India)
🏢 Amazon Music
📍 India