24 days ago
Bengaluru, IndiaEntry Level
Responsibilities
- Work with software development teams and business stakeholders to understand requirements and design data ingestion flows.
- Lead the design, modeling, and implementation of large structured, semi-structured, and unstructured datasets.
- Evaluate and implement efficient distributed storage and query techniques.
- Extract, transform, and load data from diverse internal and external sources.
- Write robust, maintainable code with clear documentation.
- Implement unit and integration test automation.
- Build and maintain data engineering, reporting, ingestion, data vending, and data mart infrastructure.
Requirements
- At least 1 year of data engineering experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- 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.