Top Tech Jobs & Startup Jobs in Toronto

As a Senior Data Ingestion Engineer, you'll lead the ingestion team, manage ETL/ELT pipelines on the Databricks platform, optimize data pipelines, and ensure security compliance. Expect to work on data ingestion from various sources and utilize tools like Apache Airflow, while also mentoring junior team members.

The ML Data Engineer will develop and maintain feature engineering pipelines using Databricks, manage ETL processes, and ensure optimized data quality and performance. Responsibilities include supporting the ML lifecycle, designing low-latency data pipelines, and collaborating with teams to align data transformation efforts with business needs.

The Senior Data Curation Engineer will develop high-quality curated data products on the Databricks platform, ensuring adherence to data curation specifications and governance standards. This role includes liaising with data stewards, implementing change requests, and maintaining documentation while following Agile methodologies.

As a Senior Data Architect at McAfee, you will design and manage data platforms, ensuring adherence to data standards and security compliance. You'll collaborate with engineers on solution design, develop physical data models for Databricks, oversee data curation teams, and maintain best practices in a remote environment.

The Sr. Manager, BI & Data Visualization will lead a team in developing and maintaining data visualization and reporting solutions, transforming complex datasets into actionable insights. This role involves overseeing projects, collaborating with cross-functional teams, implementing NLQs, and driving a data culture of self-service among stakeholders.

The BI & Data Visualization Developer will design, develop, and maintain reporting solutions for business stakeholders. Responsibilities include collaborating with teams to gather requirements, developing SQL queries, and creating visual reports using tools like Power BI and Tableau, ensuring data quality and effective presentation of complex datasets.

The Senior Data Integration Engineer is responsible for integrating data from various sources, managing ETL/ELT pipelines on Databricks, and ensuring compliance and scalability of data pipelines. The role involves collaboration with departments to tailor integration approaches, manage metadata, and conduct pipeline monitoring while adhering to SDLC best practices.