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Builds and maintains large-scale data pipelines using Hive, Spark, and Kafka for end-to-end data solutions in a global team.
Junior data engineer builds and maintains ERP and BI integrations, ensuring data quality and scalable ETL pipelines to support business analytics.
Builds and optimizes cloud data lakes and pipelines using Databricks and CI/CD, ensuring data quality and documentation for analytics.
Build and maintain a modern data warehouse using Microsoft Fabric, process data with Python/PySpark and T-SQL, and collaborate with PowerBI teams and business users.
Builds and maintains data pipelines and ETL processes to integrate financial platforms (e.g., Yardi, Salesforce) with BI tools, ensuring data quality and alignment with business needs.
Builds and maintains a modern data warehouse using Microsoft Fabric, writes Python/PySpark and T-SQL pipelines, and collaborates with PowerBI teams to deliver analytics.
Builds and optimizes Snowflake-based data pipelines, ensuring secure, high-quality data flows for analytics and reporting.
Build and maintain data pipelines for analytics, using Python, PySpark, SQL Server, and Azure Data Lake to support travel-industry decision-making.
Build and maintain Azure-based data pipelines and ETL workflows using Data Factory, Databricks, and Synapse for a hybrid on-site role in Markham.
Build and maintain data pipelines that feed analytics for a global travel company, using modern data engineering practices and security best practices.
Builds and optimizes Azure-based ETL/ELT pipelines, validates data, and supports analytics using SQL and Python for a hybrid contract role in Markham.
Designs custom data solutions and builds client-facing reports using T-SQL and Power BI for an asset-servicing provider.
Build and maintain data pipelines that feed AI agents in a proptech startup, using Python, SQL, and cloud tools to clean and organize data for models and insights.
Designs and maintains scalable data pipelines to feed analytics and reporting, using SQL and Python to empower business stakeholders with clean, reliable data.
Build and maintain a modern data platform for portfolio managers and quants, including ingestion, ETL, and APIs using Python, SQL, and distributed systems.
Build and maintain data pipelines and databases to collect, transform, and deliver data for analytics and reporting using SQL, Python, and Big Data tools.
Builds and maintains data pipelines on Databricks using Spark, Hadoop, Python, and SQL, with exposure to cloud platforms like AWS, Azure, or GCP.
Build and maintain data pipelines, automate workflows, and optimize data systems for a recruiting-focused AI startup.
Build and deploy data pipelines and integrate generative AI models as part of a cloud-focused AI team.
Build and maintain ETL pipelines and databases under supervision, ensuring data quality using SQL, Python, and Big Data tools.
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