23 hours ago
Chennai, IndiaEntry Level
Responsibilities
- Develop data products, infrastructure, and data pipelines using AWS services and internal tools.
- Build foundational analytical datasets across orders, subscriptions, discovery, promotions, pricing, and royalties.
- Improve solutions for scale, quality, efficiency, data availability, consistency, and compliance.
- Develop scalable and maintainable pipelines for structured and unstructured text-based data.
- Partner with software developers, business intelligence engineers, machine learning engineers, scientists, and product managers.
- Drive operational excellence and build automation and mechanisms that reduce operational work.
Requirements
- At least 1 year of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
- Experience with one or more scripting languages such as Python or KornShell.
- Preferred experience with big data technologies including Hadoop, Hive, Spark, or EMR.
- Preferred experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.