- Built and run resilient data pipelines in production and have implemented ETL/ELT to load a multi-terabyte enterprise data warehouse.
- Implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.
- Defined data contracts, and wrote specifications including REST APIs.
- Transformed data between data models and formats with the most modern PySpark practices. Have built cloud-native applications and supporting technologies / patterns / practices including: Cloud Services, Docker, CI/CD, DevOps, and microservices.
- Planned and designed artifacts that describe software architectures involving multiple systems and technologiesYou've worked in agile environments and are comfortable iterating quickly.
Nice to have's (but not required):
- GCP expertise is preferred but will consider AWS
- Experience moving trained machine learning models into production data pipelines.
- Experience in biotech, genomics, clinical research or precision medicine.
- Expert knowledge of relational database modeling concepts, SQL skills, proficiency in query performance tuning, and desire to share knowledge with others.
Egen Solutions focuses on Information Technology, Robotics, Consulting, Software, and Predictive Analytics. Their company has offices in Naperville. They have a large team that's between employees.
You can view their website at https://egen.solutions -
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Staff Software Engineer - Mississauga, Canada - Egen Solutions
Description
Egen is a 2022 Great Place to Work company, that makes its roots in real time data processing, analytics innovation, and application development. We build and consult on some of the most cutting edge data and software solutions with modern tech stacks for large established enterprises, scaling mid-sized enterprises, and emerging startups.
Our Data Engineering teams build scalable data pipelines using Python, Spark, and cloud services (GCP and AWS). The pipelines we build typically integrate with technologies such as Kafka, Storm, and Elasticsearch. We are working on a continuous deployment pipeline that leverages rapid on-demand releases. Our developers work in an agile process to efficiently deliver high value applications and product packages.
As a Staff Software Engineer at Egen, you will leverage Spark and GCP (preferred) to architect and implement cloud-native data pipelines and infrastructure to enable analytics and machine learning on rich datasets.