Amazon

Data Engineer II, Close Systems

Posted On

Sept. 10, 2025

Location

Hyderabad, Telangana

Experience Level

Freshers/Experienced

Job Type

Software Development

Apply By

Dec. 23, 2025

Job Description

Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation? Does the prospect of working with top engineering talent get you charged up? If so, Amazon Finance Technology (FinTech) is for you.We have a team culture that encourages innovation and we expect developers to take a high level of ownership for the product vision, technical architecture,build a scalable,service-oriented platform and continuously innovate on behalf of our customers.

FinTech systems process large scale data sets eliminating several thousand hours of manual work for global Accounting and Finance teams. Our systems leverage the latest technologies from the AWS stack providing engineers an amazing opportunity to learn and grow.

We are looking for a highly motivated and passionate Data Engineer who is responsible for designing, developing, testing, and deploying Financial Close Systems processes.In this role you will collaborate with business users, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on optimizing close process performance.You will be using the best of available tools, including S3,RedShift,Glue,Athena,DynamoDB,Spark,QuickSight and Lake Formation to develop optimized data models, ETL/ELT processes, data transformations, and data warehouse to ensure high-quality, well-structured data.You will enforce rigorous data governance, security, and compliance standards for our data, including data validation, cleansing, and lineage tracking.You will be responsible for the full software development life cycle to build scalable application and deploy in AWS Cloud.- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL

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