Sr. Data Engineer – Job ID: 2287448 | ADCI – Haryana – IN, Hyderabad

Amazon

  • Full Time

DESCRIPTION

Job summary
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 and AWS technology get you charged up? Our challenge is to deliver software systems which accurately capture, process, and report on the huge volume of financial transactions that are generated each day through our businesses like AWS, Amazon retail, and devices like Alexa. Millions of customers make purchases, thousands of vendors and partners are paid, inventory moves in and out of warehouses, commissions are calculated, and taxes are collected in hundreds of jurisdictions worldwide.

The Amazon Finance Automation Technology Team is looking for a results-oriented, driven data engineer, who can help us create the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. We need someone to lead and drive design, develop, and implementation of solutions that facilitate global financial transaction data.

Key job responsibilities
You will lead the architecture, design, development, and launch of new products and tools we build. As a senior engineer on the team, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:

Work with the team to help drive business decisions
Lead and influence design, development, test, deployment and maintenance of innovative software solutions
Use and implement data engineering best practices to ensure a high standard of quality for all of the team deliverables
Mentor & grow engineers across the team, leading by example and insisting on high standards

Come join us in making history!

A day in the life
You will be part of data engineering team that is building a highly scalable global system for reporting spend data of Amazon, analytics and machine learning for categorising Purchase Order (PO) and Invoices. You will lead the design, implementation, and delivery of this application. You think in terms of architecture, not just code. You have detailed knowledge of the work done by your team and proactively work to improve consistency and integration between your software and related software. You take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team’s software bottlenecks the innovation of other teams.

About the team
Finance Automation (FinAuto) is the Finance Operations’ (FinOps) tech team at Amazon. Our mission is to enable Finance Operations to support the growth and expansion of Amazon businesses. We are a force multiplier through automation and self-service, while ensuring accurate and on-time payments and collections. We are in the unique position to look across Finance Operations and provide solutions that satisfy the needs of multiple teams at once. We strive to be the most sought-after engineering organization in which to work, where we are inclusive, diverse, and everyone is able to be their authentic self.

BASIC QUALIFICATIONS

5+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL

PREFERRED QUALIFICATIONS

Knowledge of professional data engineering practices & best practices for the full development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
AWS knowledge and certifications
Experience with distributed computing and enterprise-wide systems.
Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy.
Demonstrated ability to mentor other data engineers in all aspects of their engineering skill sets.
Experience influencing data engineering best practices within your team.

Job Overview