DESCRIPTION
Job summary
Are you passionate about data and code? 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 and supports handling of translations data using AWS technologies? Do you want to create the next-generation product for self-service data transformation? If so, Translation Services team is for you!
The goal of Intech Translation Services (TS) team is to provide high quality, on-time translations to Amazon business teams, enabling them to expand globally at scale. Our team has a direct impact on retail CX, a key component that runs our Amazon fly wheel.
As a Data Engineer, you would own the architecture of DW solutions for the Enterprise using multiple platforms. You would have the opportunity to lead the design, creation and management of extremely large datasets working backwards from business use case. You would use your strong business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.
BASIC QUALIFICATIONS
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
PREFERRED QUALIFICATIONS
· Demonstrated strength in data modelling, ETL development, and data warehousing/lakes
· Experience architecting data solutions with AWS products including Big Data Technologies (S3, AWS Glue, Airflow)
· 2+ year of coding experience with modern programming or scripting language primarily Python
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience building data products incrementally and integrating and managing datasets from multiple sources