Senior Data Platform Engineer

2 months ago

Mississauga, Ontario, Canada Egen Full time
About the Role

We are seeking a highly skilled Sr. Data Platform Engineer to join our team at Egen. As a key member of our Data Engineering team, you will be responsible for architecting and implementing cloud-native data pipelines and infrastructure to enable analytics and machine learning on Egen's rich datasets.

Key Responsibilities
  • Design and implement scalable data pipelines using Python, Java, or Scala and AWS.
  • Integrate with technologies such as Kafka, Storm, and Elasticsearch.
  • Work in an agile process to efficiently deliver high-value applications and product packages.
  • Collaborate with cross-functional teams to drive results and hold yourself and your teammates to extreme levels of software standards and professional quality.
Requirements
  • 3-5 years minimum experience in a production-level Data Engineering role building pipelines using Python.
  • Experience implementing 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 written specifications including REST APIs.
  • Transformed data between data models and formats, preferably in Python or PySpark.
Bonus Points
  • Experience moving trained machine learning models into production data pipelines.
  • Expert knowledge of relational database modeling concepts, SQL skills, proficiency in query performance tuning, and desire to share knowledge with others.
  • Experience building cloud-native applications and supporting technologies / patterns / practices including: AWS, Docker, CI/CD, DevOps, and microservices.

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