Data Engineer II

US, WA, Virtual Location - Washington

Full Time
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Posted 3 weeks ago

The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with accountants and financial analysts supporting the various businesses and industries Amazon operates in.

Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time) and, above all, is passionate about data and analytics.

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
·
· Extensive SQL and database skills with ability to deep dive into data logic
· 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.
· Excellent data presentation skills and demonstrated ability to successfully partner with business and technical teams
· Experience in gathering requirements and formulating business metrics for reporting

Preferred Qualifications

· Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
· 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.




Job tags: AWS Big Data Data Warehousing Economics Engineering ETL Java Kafka MPP MySQL Oracle PySpark Python Redshift Scala Spark SQL
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