Transform data at Clio as a Data Engineer in Toronto, where your primary focus will be on building efficient data pipelines and enhancing team collaboration. This hybrid role requires expertise in AWS and a passion for solving complex data challenges.
Join Clio's expanding data engineering team in Toronto, expected to work onsite twice weekly. Your role will involve designing and implementing robust data workflows, ensuring data integrity while collaborating closely with engineers. Proficiency in languages like Python or Scala, together with experience using data tools, is essential for this position.
Key Responsibilities:
• Build effective data ingestion and transformation pipelines • Consolidate diverse data sources into data lakes • Collaborate to adopt best practices in data system creation • Develop proof-of-concept implementations for recent solutions • Document processes and validate data for quality assurance
Requirements: • Proven experience in data engineering and software development • Strong skills in SQL and at least one major programming language • Knowledge of AWS and related tools, including Terraform • Familiarity with Spark, Kafka, and Airflow technologies • Exceptional ability to communicate in ambiguous situations
Join Clio's mission to elevate data-driven solutions through expertly crafted engineering in our Toronto office. #J-18808-Ljbffr
📌 Clio Data Engineer Opportunity (Winnipeg)
🏢 Clio
📍 Winnipeg