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Senior Data Engineer builds and maintains cloud data pipelines using Microsoft Fabric and Azure to power analytics and compliance for a Canadian credit-union network.
Designs and builds scalable cloud data pipelines and platforms using Azure, Databricks, PySpark, and SQL to process large datasets for financial clients.
Build and maintain scalable data pipelines on Azure using Databricks, Delta Lake, and PySpark to support banking analytics and reporting.
Design and build scalable cloud data platforms using Databricks, Python/PySpark, Delta Lake, and CI/CD for enterprise analytics and governance.
Build and maintain high-volume data pipelines in AWS and Databricks using PySpark, SQL, and Python to support analytics and reporting for aerospace manufacturing.
Senior hybrid role building and maintaining data pipelines with PySpark, Spark, and HDFS, plus SQL and user support for analytics teams.
Build and optimize PySpark pipelines for large-scale data processing, using HDFS, YARN, and Spark SQL to deliver clean datasets for analytics and reporting.
Design and build scalable data pipelines and modern data platforms on Azure for enterprise clients, focusing on ETL/ELT, data modeling, and analytics to support AI and business intelligence initiatives.
Build and optimize PySpark pipelines for large-scale data processing, tuning performance and integrating with Hadoop, HBase, and SQL databases.
Build and maintain high-volume data pipelines using PySpark, Databricks, and AWS to ingest, transform, and store aerospace manufacturing data for analytics and reporting.
Design, build, and maintain high-volume data pipelines and applications using PySpark, Databricks, AWS, and SQL to support analytics and reporting for aerospace manufacturing.
Build and maintain secure, high-performance ETL pipelines on Azure Databricks and Data Factory that ingest financial data, shape it into trusted assets, and expose curated products for analytics and AI across TD Bank.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Build and scale scalable ETL/ELT pipelines on Databricks (AWS) using Python, SQL, and PySpark to process large production datasets and optimize data integrity.
Our Business: Engineered Intelligence Inc. is a power infrastructure technology company focused on delivering advanced analytics and AI-driven solutions for electric utilities and critical infrastructure organizations.…
Design and build Microsoft Fabric data lakes and an enterprise data warehouse, integrating ERP data to power analytics and reporting for a university.
Build and deploy Python-based data pipelines and ML models for financial services, using Spark, TensorFlow, and SQL to analyze risk and support decision-making.
Build and maintain scalable data pipelines and ETL processes for Canada’s leading payments network, using Spark, SQL, and big-data tools to process millions of daily transactions.
Build and maintain the data pipelines and tooling that feed AI/ML services for a cloud-based healthcare platform, enabling model development, deployment, and monitoring at scale.
Lead a team to design and build scalable data pipelines on Hadoop/Databricks and cloud platforms, enabling analytics and GenAI/LLM-ready data ingestion for enterprise clients.
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