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redshift sql python databricks machine learning📋 Description
- Design and implement data and ML platform components for data engineering, data science, and product teams.
- Ingest large volumes of structured and unstructured data from diverse sources.
- Support Databricks-based data architecture transformations.
- Guide ML model training, deployment, and monitoring in production.
- Share ML engineering best practices and tooling.
- Drive automation to improve data and ML workflows.
🎯 Requirements
- 5+ years of software development experience, specializing in data and ML
- Expertise in SQL, Python, and Databricks
- Experience with Airflow, Kafka, and Redshift
- Proficiency in data modeling and database design
- Proficient in building and deploying machine learning models (including language models)
- Proficient in building model serving pipelines for batch, streaming, and real-time inference
🎁 Benefits
- Stock options + TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision for you and dependents
- Flex time off + company holidays + focus periods
- Maternity/Parental leave EI top-up after 6 months
- Work From Anywhere Month + meeting-free weeks yearly
- Tuesday and Wednesday in-office days for collaboration
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