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Data Engineering & Analytics Specialist (Azure)
Build and maintain Azure-based data pipelines, warehouses, and analytics solutions using Data Factory, Power BI, and GenAI to deliver real-time insights for enterprise clients.
Data Engineer - Azure/Databricks
Builds and maintains Azure-based data pipelines and lakehouse/warehouse solutions using Databricks, PySpark, and Microsoft data stack to power analytics and applications.
Data Engineer - DataBricks
Build and maintain scalable data pipelines in Databricks for a financial client, using PySpark, Azure, and medallion architecture to process batch and streaming data.
Lead Data Engineer
Lead a team to design, build, and maintain scalable ETL/ELT pipelines and cloud data platforms for a retail/e-commerce client, using Snowflake, Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer
Designs and builds Azure-based data pipelines and models, turning business needs into scalable, analytics-ready data products for BI and reporting.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable Azure-based data pipelines and warehouses, using PySpark, Azure Data Factory, and Fabric to turn raw manufacturing data into trusted insights for global roofing operations.
Data Engineer Consultant (Microsoft Fabric)
Design and build scalable cloud data pipelines and lakehouse architectures using Microsoft Fabric and Azure, enabling clients to turn raw data into actionable intelligence through end-to-end data engineering.
Data Engineering Specialist
Builds and maintains data pipelines and analytics-ready datasets in Snowflake and Power BI for large capital-infrastructure programs, using Azure Data Factory to ingest and transform messy data from ERP, PMIS, and external sources.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to support analytics, reporting, and AI initiatives for Teladoc Health Canada’s virtual care platform.
Data Engineering Lead
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.
Cloud Data Engineer
Design and build scalable cloud data pipelines and analytics solutions using Snowflake, Databricks, Python, and SQL for enterprise clients.
ETL Data Engineer — Azure & Oracle Data Warehousing
Senior data engineer builds and scales ETL/ELT pipelines using Azure Data Factory, Oracle, and cloud tech to migrate and support analytics in a hybrid onsite model.
Data Engineer
Designs and maintains data pipelines and infrastructure to ingest, transform, and validate healthcare data for analytics and AI initiatives, using tools like Talend, Python, and Power BI.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to ingest, transform, and validate health data for analytics, reporting, and AI initiatives at a virtual care provider.
Data Engineer
Build and maintain an AI-forward data platform using Databricks, Python, PySpark, and cloud services to power analytics and ML for life-sciences clients.
Data Engineer
Designs and builds scalable data pipelines in Python, PySpark, and SQL to extract, transform, and load large datasets for analytics and ML, using cloud platforms like Azure/AWS and tools such as Airflow and Databricks.
Senior DevOps Engineer
Lead enterprise cloud modernization and platform engineering efforts using Azure, GCP, Kubernetes, and Terraform to design and automate scalable DevOps pipelines.
Software Developer - ETL
Build and maintain ETL pipelines that extract, transform, and load data from Oracle and other sources into star/snowflake schemas, primarily using PL/SQL, Azure Data Factory, and cloud databases.
Data engineer
Builds and maintains data pipelines that ingest and cleanse diverse sustainability and energy data from 150+ sources, enabling reliable insights for operations and strategy.
Data/Platform Architect (Azure)
Design and modernize a cloud data platform on Azure, migrating legacy MSBI systems to a Medallion Architecture and building Data Products for end-to-end data flows.