Description

　　Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access? Are you interested in creating the most innovative Legal department in the world, solving unique operational challenges no other company has tackled? Operating at Amazon’s scale demands intelligent systems, and a business operations mindset, to wrangle the tens of thousands of incoming legal requests and claims with increasing efficiency as Amazon grows.

　　In this role, you will sit with the Litigation and Regulatory Operations team, and work with paralegals, business analysts, Legal technologists, lawyers and global business leaders to operationalize the production of legal work and reduce risk for Amazon. You’ll enjoy breaking things to see how they work, improving on what works, discarding what doesn't, and learning from both. You should be passionate about technology and solving high-impact, ambiguous, business problems in the legal space.

　　As a Senior Data Engineer, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, Presto/Trino, and core data concepts (e.g. Data Modeling and Reporting). You should have deep understanding of the architecture for enterprise level data lake/mesh solutions using NAWS stack or other cloud stacks. You should be an expert in the design, creation, management, and business use of large data-sets. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

　　Key job responsibilities

　　Design, implement, and support a platform providing secured access to large datasets.

　　Architect , develop and maintain end to end scalable data infrastructure and data pipelines

　　Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

　　Develop the teams' data strategy and technical road map of data storage & pipelines design and implementation

　　Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting and AWS big data technologies.

　　Designing and implementing complex ETL pipelines and other BI solutions.

　　Work closely with business owners, developers, Business Intelligence Engineers to explore new data sources and deliver the data.

　　Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

　　Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity. along with fostering a culture of self-reliance.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　5+ years of data engineering experience

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience with SQL

　　Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

　　Experience mentoring team members on best practices

　　Preferred Qualifications

　　Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

　　Experience operating large data warehouses

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.