Data Engineer II, , GFS (Global Finance Solution)

Data Engineer II, , GFS (Global Finance Solution)

About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer‑centric company & to build a place where people can come to find and discover anything they might want to buy online.

About the role: Amazon's Global Finance Services (GFS) team is a fast‑paced, team‑focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support our Amazon Music finance team.

As a Data Engineer, you will play a key role in transforming the way GFS teams access and analyse the data. You will work to advance the 3‑Year Data Infrastructure Modernisation strategy and play a key role in adopting and expanding a unified data access platform and scalable governance and observability frameworks that follow modern data architecture and cloud‑first designs.

Your responsibilities will include supporting and migrating data analytics use cases of a targeted customer group and new features implementations within the central platform: component design, implementation using AWS services that follow best engineering practices, user acceptance testing, launch, adoption and post‑launch support. You will work on system design and integrate new components to the established architecture. You will be engaged in cross‑team collaboration by building reusable design patterns and components and adopting designs used by others.

You will contribute to “buy” vs “build” decisions by evaluating the latest product and feature releases for AWS and internal products, performing gap analysis and defining feasibility of their adoption and the list of blockers.

The ideal candidate possesses a track record of creating efficient AWS‑based data solutions; data models for both relational databases and Glue/Athena/EMR stack; developing solution documentation, project plans, user guides and other project documentation. We are looking for an individual contributor inspired to become a data systems architect. A track record of production‑level deliverables leveraging GenAI is a big plus.

Key job responsibilities

• Elevate and optimise existing solutions while driving strategic migration. Conduct thorough impact assessments to identify opportunities for transformative re‑architecture or migration to central platforms. Your insights will shape the technology roadmap, ensuring we make progress towards deprecation goals while providing best customer service.
• Design, review and implement data solutions that support WW Operations Finance standardisation and automation initiatives using AWS technologies and internally built tools, including Spark/EMR, Redshift, Athena, DynamoDB, Lambda, S3, Glue, Lake Formation, etc.
• Support data solution adoption by both finance and technical teams; identify and remove adoption blockers.
• Ensure the speed of delivery and high quality: iteratively improve the development process and adopt mechanisms for optimisation of development and support.
• Contribute to engineering excellence by reviewing designs and code created by others.
• Contribute to delivery execution, planning, operational excellence, retrospectives, problem identification, and solution proposals.
• Collaborate with finance analysts, engineers, product and program managers and external teams to influence and optimise the value of the delivery in the data platform.
• Create technical and customer‑facing documentation on the products within the platform.

A day in the life

You work with the Engineering, Product, BI and Operations teams to elevate existing data platforms and implement best‑of‑class data solutions for WW Operations Finance organisation. You solve unstructured customer pain points with technical solutions, focusing on user productivity when working with the data. You participate in discussions with stakeholders to provide updates on project progress, gather feedback, and align on priorities. Utilizing AWS CDK and various AWS services, you design, execute and deploy solutions. Your broader focus is on system architecture rather than individual pipelines. You regularly review your designs with the Principal Engineer, incorporating gathered insights. Conscious of your impact on customers and infrastructure, you establish efficient development and change management processes to guarantee speed, quality and scalability of delivered solutions.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modelling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redsh