Amazon

Data Engineer II, Stores FinTech

Posted On

June 20, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Aug. 19, 2025

Job Description

How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive and innovative technology?

Amazon Stores FinTech Team is seeking a Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores – one of the fastest growing, largest and most complex Supply Chains in the world. This position requires a high level of technical expertise with data engineering concepts.

Key job responsibilities
* Expertise and experience in building and scaling Finance Planning Applications
* Deliver on data architecture projects and implementation of next generation financial solutions
* Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
* Build and deliver high quality data architecture and pipelines to support customer reporting needs
* Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
* Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers
* Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability
* Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
* Prepare run books, methods of procedures, tutorials, training videos on best practices for the team
* Build monitoring dashboards and creation of critical alarms for the system
* Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture
* Build automated unit test and regression test framework that can be leveraged across multiple data systems
* Build data reconciliation framework and tools that can be leveraged across multiple data systems
* Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements
* Identify process improvement opportunities to drive innovation
* Rotational on-call availability for critical systems support- 3+ years of data engineering experience
- 3+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- 5+ years of experience working in Financial Planning & Reporting domain

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