Data Engineer, WW Ops Finance S&A

DESCRIPTION: Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable insights? If you thrive in innovation and can deliver scalable Data Engineering Solutions, then the Worldwide Operations Finance Standardization & Automation (SnA) team has an exciting opportunity for you!<br><br>We are looking for a top notch Data Engineer to be part of our Financial Planning & Analytics (FP&A) Product organization.<br><br>• Strong experience in Data Warehouse and Business Intelligence application development<br>• Data Analysis: Understand business processes, logical data models and relational database implementations<br>• Expert knowledge in SQL. Optimize complex queries.<br>• Basic understanding of statistical analysis. Experience in testing design and measurement.<br>• Proven track record of working on complex modular projects, and assuming a leading role in such projects<br>• Highly motivated, self-driven, capable of defining own design and test scenarios<br>• Experience with programming/scripting languages such as Scala/Python etc. preferred<br>• Evaluate and implement various big-data technologies and solutions (Redshift DW, Glue, EMR, Spark) to optimize processing of extremely large datasets in an accurate and timely fashion.<br><br>Key job responsibilities<br>- Designing, build and maintain complex data solutions for Amazon's Operations Finance businesses<br>- Develop and maintain fully automated ETL pipelines using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda<br>- Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions<br>- Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies<br>- Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient<br>- Implement and support reporting and analytics infrastructure for internal Finance customers.<br>- Makes enhancements that improve team’s data architecture, making it better and easier to maintain - - Owns the data quality of datasets and any new changes/enhancements<br><br>About the team<br>This is a core Data Engineering team that sits within the Financial Planning & Analytics Product organization owning the data infrastructure, datasets supporting Worldwide Ops Finance business. The team is responsible for scaling and sustaining data solutions that support Financial Planning & Analytics products across all Amazon businesses. BASIC QUALIFICATIONS:

• 3+ years of data engineering experience<br>- Experience with data modeling, warehousing and building ETL pipelines<br>- Knowledge of distributed systems as it pertains to data storage and computing<br>- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS PREFERRED QUALIFICATIONS:
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions<br>- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)<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 $118,900/year in our lowest geographic market up to $205,600/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.