Data Engineer, FinTech International Tax Compliance

As a Data Engineer you will be working on building and maintaining complex data pipelines, assemble large and complex datasets to generate business insights and to enable data driven decision making and support the rapidly growing and dynamic business demand for data.
You will have an opportunity to collaborate and work with various teams of Business analysts, Managers, Software Dev Engineers, and Data Engineers to determine how best to design, implement and support solutions. You will be challenged and provided with tremendous growth opportunity in a customer facing, fast paced, agile environment.
Key job responsibilities
Design, implement and support an analytical data platform solutions for data driven decisions and insights
* Design data schema and operate internal data warehouses & SQL/NOSQL database systems
* Work on different data model designs, architecture, implementation, discussions and optimizations
* Interface with other teams to extract, transform, and load data from a wide variety of data sources using AWS big data technologies like EMR, RedShift, Elastic Search etc.
* Work on different AWS technologies such as S3, RedShift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
* Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc.
* Work on SQL technologies on Hadoop such as Spark, Hive, Impala etc..
* Help continually improve ongoing analysis processes, optimizing or simplifying self-service support for customers
* Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
* Enjoy working closely with your peers in a group of talented engineers and gain knowledge.
* Be enthusiastic about building deep domain knowledge on various Amazon’s business domains.
* Own the development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
A day in the life
In this role, you will collaborate closely with Tax teams to gain a deep understanding of their business challenges, adapt swiftly to evolving needs, and align your efforts with customer priorities. You should possess the ability to act with agility, rapidly develop solutions, create proofs of concept (POCs), and provide customers with the right recommendations. A key aspect of your responsibilities will involve working closely with peer engineers, actively contributing to the design of solutions, conducting thorough deep dives, and participating in quality code reviews. Additionally, you will share the responsibility of owning and resolving operational tickets alongside your peers, ensuring efficient and effective issue resolution. This position demands a proactive mindset, strong problem-solving skills, and a commitment to delivering high-quality solutions tailored to the specific requirements of Tax teams and their customers.
About the team
The FinTech International Tax Compliance (FIT Compliance) team oversees the Tax Data Warehouse platform, a large-scale data platform and reporting solution designed for indirect tax compliance across Amazon and other organizations. This platform enables businesses to adhere to mandatory tax regulations, drive data accuracy, and ensure audit readiness, providing consistent and reliable data to tax teams in the EMEA regions. As Amazon expands its operations in EMEA, the FIT Compliance team plays a crucial role in delivering mandatory tax reporting obligations, facilitating these launches. Furthermore, their charter encompasses building solutions to meet evolving tax legislation changes, audit requests, and technology requirements globally, such as Digital Service Tax (DST). The team is also investing in building the next generation of strategic platforms such as Unified Tax Data System (UTDS) and DataHub.
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience building data pipelines or automated ETL processes
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
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