Paragon Case Management Insights (PCMI) Data Platform team’s mission is to empower Selling Partner (SP) Support Operations, SP Support Experience & Root-cause teams and Case Management tenants to make data driven decisions and derive insights.
We have an immediate need for creative and driven Engineer who have a passion for building systems that have a measurable impact.
You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns.
You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements.
You will provide guidance and support for other engineers with industry best practices and direction. Amazon Web Services (AWS) has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue / lake formation, EMR / Spark / Scala, Athena 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
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