Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Amazon Data Engineer Amazon Business Marketing Analytics 
United States, Washington, Seattle 
766234181

17.06.2024
DESCRIPTION

Key job responsibilities
Amazon Business Marketing Analytics (ABMA) team is looking for a Data Engineer II to play a significant role in building their large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modelling metadata, building reports and dashboards, and administering the platform software. You are expected to build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions.
You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
A day in the life
Seattle, WA, USA

BASIC QUALIFICATIONS

- Bachelor's degree
- 3+ years of data engineering experience
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions


PREFERRED QUALIFICATIONS

- 5+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets