Amazon

Data Engineer, WW Ops Finance S&A

Posted On

Feb. 16, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Data Science

Apply By

March 10, 2026

Job 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!

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.- 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

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