Data Engineer - Finance Technology, Finance Technology

Amazon • Seattle, WA

13d

About The Position

Are you passionate about data? Does the prospect of dealing with massive volumes
of data excite you? Do you want to build data engineering solutions that process
billions of records a day in a scalable manner using AWS technologies? Do you
want to build the next-generation system for intuitive data access?

Amazon's Finance Technology team is seeking truly innovative Data Engineer to
join the team that is shaping the future of the finance/accounting systems. 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 is a
passionate about data and analytics. Amazon has culture of data-driven
decision-making, and demands data that is timely, accurate, and actionable, to
meet that need you will work with customers, design and develop data solutions
that facilitate and influence day to day decision making.

As a Data Engineer, we expect you to have expertise with data warehousing
technical components (e.g. Data Modeling, ETL and Reporting), infrastructure
(e.g. hardware and software) and their integration. You should have deep
understanding of the architecture for enterprise level data warehouse solutions
using multiple platforms (RDBMS, Columnar, Cloud). You are expected to have
experience with design, creation, management, and business use of large
datasets. You should have excellent business and communication skills to be able
to work with business owners to develop and define key business questions, and
to build data sets that answer those questions. 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. Having
strong analytical skills is a plus. Above all, you should be passionate about
working with huge data sets and someone who loves to bring datasets together to
answer business questions and drive change.

Requirements

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

Nice To Haves

• 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)

Responsibilities

• Design, implement, and support a platform providing secured access to large datasets
• Interface with Tax, Finance and Accounting customers, gathering requirements and delivering end-to-end BI solutions
• Model data and metadata to support ad-hoc and pre-built reporting
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Tune application and query performance using profiling tools and SQL
• Analyze and solve problems at their root, stepping back to understand the broader context
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use
• 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 services
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed