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Design and build APIs, databases, and automation for a genomics data platform using Python, FastAPI, PostgreSQL, and CI/CD on Linux within a university research environment.
Senior AWS Data Engineer designing and building scalable data pipelines and curated data platforms on AWS using SQL, Python, dbt, and Airflow to enable reporting and analytics.
Own the end-to-end delivery and evolution of a large-scale Azure data platform, leading engineering teams on data migrations and modernization using Azure, Snowflake, Databricks, and Python within a major bank.
Data Engineer designing and building Azure cloud data platforms, creating data pipelines and models using Azure and Fabric technologies for analytics, reporting, and AI initiatives.
Data Engineer designing and building modern cloud data platforms on Microsoft Azure and Fabric, developing ELT pipelines, lakehouse solutions, and data models for enterprise consulting clients.
Design, build, and maintain scalable ETL/ELT pipelines and data models on Google Cloud Platform using Python, SQL, BigQuery, and Airflow, while ensuring data governance and collaborating with stakeholders.
Design, build, and maintain ETL data integration solutions using Informatica PowerCenter v10.2, IDMC, and PL/SQL, with a focus on performance tuning, troubleshooting, and cloud migration in an Agile team.
Senior Data Architect defining technology architecture standards for data governance, classification, and data quality across structured, unstructured, and geospatial data, using Microsoft Purview and Databricks Unity Catalog for an energy & resources client.
Data Engineer designing and building audience segment data products and pipelines in Databricks, using Python, SQL, and Spark with privacy-first practices for data marketplaces and clients.
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
On-site Cloud Data Engineer in Toronto designing and optimizing ETL pipelines using Informatica, Azure Data Factory, and Databricks, with Python/SQL programming and Medallion Architecture implementation.
Build and optimize cloud-based data solutions, migrating data from legacy EHR systems into a centralized lakehouse to enable clinical analytics and AI, using Azure Data Factory, Databricks, Informatica, SQL, and Python.
Senior DataOps/Cloud Data Engineer building and automating ETL data pipelines using Informatica, Azure Data Factory, and Databricks with Medallion Architecture for a government ministry.
Administer and support Azure-based data platforms (Databricks, Data Factory, ADLS Gen2) using Terraform and IaC practices, with on-call rotation and cross-functional collaboration in Toronto/London.
Data Engineer building cloud-based data pipelines and ingestion architectures using Python, SQL, PySpark, and Databricks at JLL's Toronto office.
Senior data analytics professional building predictive models, mapping data, and communicating analytics value to business and technical stakeholders in a hybrid Calgary role using ML, Python, and SQL.
Senior Data Engineer at Amazon leading data pipeline design, data models, and ML infrastructure for pricing algorithms, building GenAI-enabled data solutions on AWS in Vancouver.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Lead the data engineering team and define the end-to-end data platform (lakehouse with medallion pattern) at Xplore, a Canadian rural broadband provider. Unify siloed data from on-prem network/OSS/BSS systems, Salesforce, and other sources while implementing governance, lineage, and compliance controls using Spark, Python/Scala, and SQL.
Senior Data Engineer designing and building scalable ETL pipelines with Python, SQL, Snowflake, and cloud platforms, collaborating across teams and mentoring others in an office-based role.
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