Posted:3 weeks ago|
Platform:
On-site
Full Time
Data is the new Oil !! Are you passionate about data Does the prospect of dealing with massive volumes of data excite you Do you want to build big-data solutions that process billions of records a day in a scalable fashion using AWS technologies Do you want to create the next-generation tools for intuitive data access If so, Amazon Finance Technology (FinTech) is for you!
Amazon's Financial Technology team is looking for a passionate, results-oriented, inventive Data Engineers who can work on massively scalable and distributed systems. The candidate thrives in a fast-paced environment, understands how to deal with large sets of data and transactions and will help us deliver on a new generation of software, leveraging Amazon Web Services. The candidate is passionate about technology and wants to be involved with real business problems. Our platform serves Amazon's finance, tax and accounting functions across the globe. We are looking for an experienced Data Engineer to join the FinTech Tax teams that builds and operate technology for supporting Amazon's tax compliance and audits needs worldwide. Our teams are responsible for building a big-data platform to stream billions of transactions a day, process and to organize them into output required for tax compliance globally. With Amazon's data-driven culture, our platform will provide accurate, timely and actionable data for our customers.As a member of this team, your mission will be to design, develop, document and support massively scalable, distributed real time systems. Using Python, Java, Object oriented design patterns, distributed databases and other innovative storage techniques, you will build and deliver software systems that support complex and rapidly evolving business requirements. You will communicate your ideas effectively to achieve the right outcome for your team and customer. Your code, design, and implementation decisions will set a great example to other engineers. As a senior engineer, you will provide guidance and support for other engineers with industry best practices and direction. You will also have the opportunity to impact the technical decisions in the broader organisation as well as mentor other engineers in the team.Key job responsibilitiesThis is an exciting opportunity for a seasoned Data Engineer to take on a pivotal role in the architecture, design, implementation, and deployment of large-scale, critical, and complex financial applications. You will push your design and architecture skills to the limit by owning all aspects of end-to-end solutions. Leveraging agile methodologies, you will iteratively build and deliver high-quality results in a fast-paced environment. With strong verbal and written communication abilities, self-motivation, and a collaborative mindset, you will work across Amazon engineering teams and business teams globally to plan, design, execute, and implement this new platform across multiple geographies. Throughout the project lifecycle, you will review requirements, design services that lay the foundation for the new technology platform, integrate with existing architectures, develop and test code (Python, Scala, Java), and deliver seamless implementations for Global Tax customers. In a hands-on role, you will manage day-to-day activities, participate in designs, design reviews, and code reviews with the engineering team. Utilizing AWS technologies such as EC2, RDS/DynamoDB/RedShift, S3, EMR, Glue and QuickSight you will build solutions. You will design and code technical solutions to deliver value to tax customers. Additionally, you will contribute to a suite of tools hosted on the AWS infrastructure, working with a variety of tools across the spectrum of the software development lifecycle.
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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