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!

We are looking for a top notch Data Engineer to be part of our Financial Planning & Analytics (FP&A) Product organization.

• Strong experience in Data Warehouse and Business Intelligence application development

• Data Analysis: Understand business processes, logical data models and relational database implementations

• Expert knowledge in SQL. Optimize complex queries.

• Basic understanding of statistical analysis. Experience in testing design and measurement.

• Proven track record of working on complex modular projects, and assuming a leading role in such projects

• Highly motivated, self-driven, capable of defining own design and test scenarios

• Experience with programming/scripting languages such as Scala/Python etc. preferred

• 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.

• Key job responsibilities

• Designing, build and maintain complex data solutions for Amazon's Operations Finance businesses

• Develop and maintain fully automated ETL pipelines using scripting languages such as Python, Spark, SQL and AWS services such as S3, Glue, Lambda

• Actively participates in the code review process, design discussions, team planning, operational excellence, and constructively identifies problems and proposes solutions

• Makes appropriate trade-offs, re-use where possible, and is judicious about introducing dependencies

• Asks correct questions when data model and requirements are not well defined and comes up with designs which are scalable, maintainable and efficient

• Implement and support reporting and analytics infrastructure for internal Finance customers.

• 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

About the team
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
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of distributed systems as it pertains to data storage and computing
• 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, Fire Hose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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