Become a key player at Clio as a Data Engineer in Toronto, where you'll build data pipelines and enhance accessibility for partner teams. With a focus on AWS technologies and cutting-edge problem-solving, this hybrid role encourages collaboration and technical advancement.Clio is seeking a talented Data Engineer to join our growing team in Toronto, with the intention of working in our office twice a week. You will craft data ingestion processes using best practices and help design transformation pipelines that integrate diverse data sources. This position requires proficiency in coding, particularly in Python or Scala,



and an eagerness to work with cutting-edge technologies.Key Responsibilities:Implement data ingestion using AWS technologiesDesign and build robust data transformation pipelinesCollaborate on best practices for data integrity and validationDevelop prototypes for unproven technical solutionsMaintain documentation and analysis of data processesRequirements:Experience in software development and data engineeringProficient in Python, Scala, or Ruby and SQLKnowledge of AWS and Terraform beneficialFamiliarity with Spark, Kafka, and AirflowStrong communication skills in uncertain environmentsElevate your data engineering skills while enhancing Clio's capabilities through innovative data solutions in our Toronto office.#J-18808-Ljbffr

📌 Data Engineer In Toronto Offices
🏢 Clio
📍 Toronto