Data Engineer, Workforce Solutions - Talent Mobility

Amazon • Seattle, WA

238d • $91,200 - $185,000

About The Position

As a Data Engineer on the WSTM - Employee Engagement Solutions team, you will support the HR needs of the largest organization in Amazon's retail business. Your stakeholders will range from FC HR to data scientists, economists, software development teams and product managers seeking to improve associate experience. The data products that you build and support, will help our leaders focus their efforts on ways that will engage, retain and grow their associates to propel the business forward. The EES analytics team supports field and organizational leadership by advising actions, informing decisions, and identifying risk for Amazon's Worldwide Operations. Our team's goal is to help Amazon HR become the world's most scientific HR organization, empowering leaders and enabling action through data and science.

Requirements

• 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).

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Responsibilities

• Build large scale, near real-time data platforms, metrics and models that drive actionable insights and scalable processes for Amazon's core retail HR operations.
• Combine the power of AWS with Amazon internal ETL tools, highly optimized SQL and scripting languages to build solutions that scale to serve the worldwide HR operations business needs.
• Lead the design, implementation, and successful delivery of ETL services using 15+ AWS services.
• Maintain individual knowledge of AWS services to design efficient, scalable, cost-effective services and data pipelines with high availability (>99.5% SLAs) and data quality.
• Interface across the WS organization at multiple levels and functions and maintain conceptual knowledge of the data domains required to build foundational datasets.

Benefits

• Full range of medical, financial, and/or other benefits.
• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers
• Education Level: Bachelor's degree