Data Engineer II
4 weeks ago
As a Data Engineer, We have an immediate need for creative and driven Engineer who have a passion for building systems that have a measurable impact. The right candidate will be innovative and technically versatile and help build metrics for business and operational performance to be used on daily basis. You will work on enabling the launch of Data Lakehouse using NAWS architecture as a new data-warehousing solution designed to optimize ELT for analytics platform, real time streaming and global catalog for the data lake. Build data pipelines framework using CDK constructs and CICD automated packages to reduce operational overhead and increase development velocity for data engineering.
Key job responsibilities
* Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.)
* Improve existing solutions and come up with next generation Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.
* Develop new data models and end to data pipelines.
* Lead design reviews for other Data Engineers on the team and actively participate in design reviews.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- 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)
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