Data Engineer II
Arlington, Virginia, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.
Responsibilities of this position include:
· Working with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.
· Partnering with partner engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.
· Design, build and implement the right ETL processes using AWS and similar technologies.
· Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks.
· Enable large scale analytics using EMR and other big data technologies
· Establishing and implementing technology best practices that should be followed across the organization.
· Work on proof of concepts for adoption of new technology and tools
Basic Qualifications
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor’s degree in Engineering, Statistics, Computer Science, Mathematics or related field
· Experience RDBMS databases like MySQL/SQL Server/Oracle and MPP Databases like Redshift, Teradata or Netezza
· Experience with programming languages such as Java, PySpark/Scala, Python, etc.
· Experience in gathering requirements and formulating business metrics for reporting
Preferred Qualifications
· Masters in computer science, mathematics, statistics, economics, or other quantitative fields· Excellent data presentation skills and demonstrated ability to successfully partner with business and technical teams
· Experience with Big data tools like Kinesis or Kafka, Spark
· Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Tags: Agile AWS Big Data Business Intelligence Computer Science Data Warehousing Economics Engineering ETL Kafka Kinesis Mathematics MPP MySQL Oracle Pipelines PySpark Python RDBMS Redshift Scala Spark SQL Statistics Teradata Testing
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