Data Engineer, Decision Intelligence & Insights

Amazon Inc.; Factoria (WA); On-site; USD 101,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a data engineer to advance data architecture, quality, and availability.

You will partner with data scientists, business analysts, and stakeholders to build and verify hypotheses that improve the AWS Support business and customer experience. The role involves implementing analytics, maintaining self-service reporting, and exploring big data tech to scale data sets and insights for AWS customers and internal teams.

Qualifications

• 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).

Responsibilities

• Develop and improve the current data architecture, data quality, monitoring and data availability.
• Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
• Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business.
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.

Skills

Data engineering

Data modeling

Data warehousing

ETL pipelines

SQL

Python

Tools

Hadoop

Hive

Spark

EMR

Informatica

Job description

Amazon Web Services, Inc. is seeking a data engineer to advance data architecture, quality, and availability.

You will partner with data scientists, business analysts, and stakeholders to build and verify hypotheses that improve the AWS Support business and customer experience. The role involves implementing analytics, maintaining self-service reporting, and exploring big data tech to scale data sets and insights for AWS customers and internal teams.