Senior Data Engineer

📋 Description

• Architect high-scale data infrastructure for pipelines.
• Build robust ELT/ETL workflows for data lakes and warehouses.
• Design cloud architectures on AWS/GCP with security governance.
• Optimize performance and scalability of data systems.
• Collaborate with Analytics/Product/Design to enable data work.
• Own data quality and reliability across datasets.

🎯 Requirements

• 3+ years in data engineering building scalable data systems.
• Hands-on AWS and/or GCP cloud expertise.
• Strong Python/Scala/Java and advanced SQL skills.
• Experience with Spark, Hadoop, Beam and Kafka/ Pub/Sub/ Kinesis.
• Proficient in Airflow or Dataflow and dbt.
• CI/CD, Docker, Kubernetes; Snowflake/BigQuery/Redshift knowledge.

🎁 Benefits

• Competitive benefits package.
• Flex time off and career development.
• Hybrid work with in-office at Winnipeg, Vancouver, Hamilton.
• Top-tier hardware and tools (Mac/Windows/Linux).