Streaming Data Engineer building scalable Bronze, Silver, and Gold data pipelines for PLATO’s public sector clients. Managing real-time ingestion, processing, security, and data quality.
Responsibilities
Design, develop, and maintain scalable streaming data pipelines for Bronze, Silver, and Gold data layers
Implement data ingestion processes from various sources
Ensure data quality and integrity
Collaborate with data scientists, analysts, and stakeholders to define data requirements and deliver data solutions
Monitor and optimize streaming data solution performance
Ensure compliance with data governance and security standards
Manage enhanced security clearance protocols
Participate in code reviews
Mentor junior team members
Document data engineering processes and workflows
Stay current with streaming data engineering trends and emerging technologies
Requirements
Minimum of 5 years of experience in data engineering, with a focus on streaming data technologies
Proficiency in Python, Java, or Scala
Experience with Apache Kafka, Apache Flink, or similar data streaming technologies
Strong understanding of data modeling and ETL processes
Familiarity with AWS, Azure, or GCP is an asset
Familiarity with Hadoop and Spark is an asset
Enhanced security clearance is required
Ability to work remotely from Canada
Benefits
Collaborative work culture
Professional growth opportunities
Mentorship and knowledge-sharing
Accommodation support during the recruitment process
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