2 months ago
Base Salary
$101k - $160k/yr
Responsibilities
- Develop and improve data architecture, data quality, monitoring, and data availability.
- Collaborate with data scientists to implement analytics algorithms for statistical analysis, prediction, clustering, and machine learning.
- Partner with business analysts to build and verify hypotheses that improve the AWS Support business.
- Improve reporting and analysis processes and simplify self-service support for customers.
- Evaluate and pilot big data technologies and scalable data architectures for growing customer-experience datasets.
- Work closely with BI engineers, data scientists, ML scientists, business analysts, product managers, and other stakeholders.
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 Hadoop, Hive, Spark, or EMR.
- Preferred experience with an ETL tool such as Informatica, ODI, SSIS, BODI, or Datastage.
Benefits
- Flexible work hours and arrangements are part of the company culture.
- Benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance and mental health support, medical advice, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The role is based in Bellevue, Washington, USA.
- Amazon provides mentorship, knowledge-sharing, learning experiences, and career-development resources.
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.