Data Architect for Cloud-Based Analytics Solutions
1 week ago
We are seeking a highly skilled Data Engineer to join our AWS Kumo team. As a Data Engineer, you will play a critical role in developing and improving the current data architecture, ensuring high-quality data, monitoring, and data availability.
You will collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering, and machine learning. Additionally, you will partner with Business Analysts across teams to build and verify hypotheses to improve the AWS Support business.
The successful candidate will have 3+ years of experience in data engineering, including experience with data modeling, warehousing, and building ETL pipelines. You should also be familiar with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
Experience with non-relational databases/data stores is also required. If you have a passion for data and a strategic mindset, we encourage you to apply.
A day in the life of a Data Engineer at AWS includes:
- Developing and improving the current data architecture
- Collaborating with Data Scientists on advanced analytics projects
- Partnering with Business Analysts to build and verify hypotheses
- Improving ongoing reporting and analysis processes
AWS offers a competitive salary range of $103,300 - $172,600 per year, depending on experience. We value work-life harmony and flexible work hours are part of our culture. Our inclusive team culture fosters a sense of belonging and provides opportunities for career growth and development.
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