DESCRIPTION:
We are looking for Data Engineer to push the boundaries of traditional thinking and innovate outside the box at Amazon scale.<br>As a member of CPSA team you will build and operate compensation data warehouse which helps multiple analytics and science team <br>by provide accurate and timely data. You will also be collaborating with multiple stakeholders and be working alongside <br>team of skilled team members.If you're fired up about being part of a dynamic, driven team, then this is your moment to join us<br> on this exciting journey.<br><br><br>Key job responsibilities<br>- Create scalable data solutions using AWS and/or Amazon internal tools.<br>- Create and maintain business logic for data transformation and ingestion pipelines.<br>- Create and maintain datasets in data lake and internal data management systems using S3/Glue.<br>- Data investigation and analysis to understand the impact of changes on downstream customers' use cases and build transformation logic to ingest data for data analysis.<br>- Provide quality data for Amazon downs team data consumers.<br><br>A day in the life<br>As a member of CPSA team you'll play a key role in solving one of the world's most complex technical challenges in data engineering. <br>You will utilize large-scale compute platform to build big datasets used in distributed systems for machine learning and statistical analysis. <br>Our Data Engineer needs to be able to gather and understand data requirements, build and maintain big data sources to prepare data for machine learning models, <br>data scientists, business intelligent engineers, and work with software engineers to achieve high quality data ingestion and transformation solutions.
BASIC QUALIFICATIONS:
- 3+ years of data engineering experience<br>- Experience with data modeling, warehousing and building ETL pipelines<br>- Experience with SQL<br>- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)<br>- Experience with one or more scripting language (e.g., Python, KornShell)
PREFERRED QUALIFICATIONS:
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR<br>- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.<br><br>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br><br>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br><br>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 <a href="https://www.aboutamazon.com/workplace/employee-benefits">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.