Challenge your data engineering expertise at Clio in Toronto, where you'll create cutting-edge data pipelines and facilitate seamless data access for teams. Leverage AWS and modern tools in this hybrid role focused on collaborative problem-solving. Clio is on the lookout for a skilled Data Engineer to enrich our team in Toronto, requiring in-office attendance twice per week.
You'll tackle data ingestion and transformation while ensuring integrity and accessibility of data resources. Candidates should be adept in programming languages such as Python or Ruby, with demonstrated abilities in cloud solutions like AWS. Key Responsibilities:
- Implement real-time and batch data ingestion processes
- Build and maintain data transformation pipelines
- Ensure validation and documentation of data systems
- Create prototypes for complex technical solutions
- Foster collaboration on best practices in data engineering
Requirements:
- Background in both software development and data engineering
- Proficiency in SQL and at least one programming language
- Experience with AWS infrastructure preferred
- Familiarity with tools like Spark, Kafka, and Airflow
- Excellent communication skills in complex scenarios
Contribute significantly to data solutions at Clio, accelerating cutting-edge projects while enjoying a flexible workplace in Toronto.
📌 Toronto Data Engineer Role at Clio
🏢 Clio
📍 Toronto