Data Engineer

Seeking a Data Engineer to join the Data and Analytics team, focusing on data pipeline and transformation tasks for reporting, BI, and insights. Responsibilities include designing, developing, and maintaining data assets and pipelines, working with business teams to understand requirements.

Data Engineer to design and implement solutions for trading and post-trade activities, utilizing AWS and various technologies.

Seeking a Data Engineer in Toronto for a hybrid contract role supporting data analytics and infrastructure. Responsibilities include managing data pipelines, supporting analysts, and contributing to data architecture and migration initiatives.

Data Engineer responsible for documenting technical requirements, creating data visualizations, designing databases, and developing information systems. Assesses security risks, develops policies, and leads teams.

Designs, builds, and maintains data pipelines, models, and infrastructure for efficient data delivery. Leverages AI tools for automation and ensures adherence to data governance and security standards.

Seeking a Senior Software Engineer with a strong data engineering background to build scalable data solutions and drive business impact. Responsibilities include implementing data warehouses, building data pipelines, and deploying data-driven applications.

Seeking an experienced Data Engineer to develop and optimize data infrastructure using Snowflake and AWS. Responsibilities include building data pipelines, ETL/ELT processes, data models, and collaborating with teams to deliver data solutions.

Seeking a skilled Data Engineer to design, develop, and optimize big data solutions using Databricks, Apache Spark, SQL, and Python on cloud platforms. Responsibilities include building scalable ETL workflows, data governance, and collaborating with cross-functional teams.

Seeking a Data Engineer to build and maintain data pipelines for collecting, storing, and processing large datasets. Responsibilities include data integration, ETL processes, database management, and ensuring data quality.