7 days ago
Bengaluru, IndiaEntry Level
Responsibilities
- Design and develop scalable, high-performance data systems using medallion architecture.
- Build and maintain data infrastructure, data models, and ETL pipelines for seller identity verification data.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and implement data solutions.
- Optimize data storage and retrieval systems for performance and cost-effectiveness.
- Implement data quality checks and monitoring systems to ensure data integrity and reliability.
- Monitor pipeline status and investigate overnight ETL job failures.
Requirements
- At least 1 year of data engineering experience.
- Experience with SQL and one or more query languages such as PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience with one or more scripting languages such as Python or KornShell.
- Preferred experience with big data technologies such as 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.