What are the responsibilities and job description for the Data Engineer, Workforce Solutions - Talent Mobility position at Amazon?
DESCRIPTION
How do we improve associate experience? What drives hiring, engagement and retention of the best and the brightest associates in Amazon’s Worldwide Operations (supporting hundreds of thousands of dedicated associates and leaders deliver millions of packages and smiles to customers every day)?
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.
Key job responsibilities
As a Data Engineer, you will help us 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. You will 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.
Data Engineers on the team lead the design, implementation, and successful delivery of ETL services, which collectively use 15 AWS services, e.g., Lambda, Glue, Lake Formation, CloudWatch, API gateway, EMR, Redshift, DynamoDb etc. They are expected to maintain their individual knowledge of these AWS services in order to design efficient, scalable, cost-effective services and data pipelines with high availability (>99.5% SLAs) and data quality, and are also expected to be able to work backwards from their customers, which requires interfacing across the WS organization at multiple levels and functions and maintaining conceptual knowledge of the data domains required to build foundational datasets.
About the team
You will be part of the Employee Engagement Solutions team within the Workforce Solutions Organization. The Employee Engagement team owns the full suite of employee facing products such as Thrive, Engage, Gather, and Conversation Hub.
BASIC 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)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $91,200 - $185,000
