Data Engineer , AWS FinTech

DESCRIPTION

As a Data Engineer I, you will play a crucial role in designing, building, and maintaining data ingestion pipelines, ETL processes, and data warehousing solutions. Your responsibilities will include extracting data from various sources, transforming and loading it into centralized data repositories, and ensuring data quality and integrity throughout the process. You will be responsible for creating scalable data models, optimizing data warehouse performance, and implementing efficient data processing workflows.
You will implement comprehensive data quality checks, validation rules, and monitoring mechanisms to maintain data reliability and provide visibility into data quality metrics. Automation and scripting will be essential aspects of your role, as you will develop and maintain scripts for data engineering tasks and contribute to the development of reusable components and libraries. Collaboration with business intelligence engineers, data scientists, and other stakeholders will be crucial to understand data requirements and align data engineering efforts with business objectives. You will stay up-to-date with the latest tools, technologies, and best practices through continuous learning and professional development. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

BASIC QUALIFICATIONS

- 1+ years of data engineering experience
- 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)