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Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Build and maintain the data pipelines and warehouse that power a quantitative investment firm’s ML-driven equity strategy, using Python, Snowflake, Airflow, DBT, and AWS.
Design and optimize data pipelines for research data egress and dashboard ingestion, ensuring high availability and integration with AI tooling in a financial services environment.
Design and implement a cloud-native data ecosystem on Azure for a credit union, using Databricks, Spark, Unity Catalog, and Purview to build secure, scalable, and compliant data pipelines and governance frameworks.
Build and optimize data pipelines for research data egress/ingress, ensuring high availability and integration with AI tooling in a financial services environment.
Build and optimize ETL/ELT pipelines using SQL, Snowflake/Databricks, DBT, and Airflow to support analytics and data governance in a wealth-tech environment.
Designs and maintains cloud-based data pipelines, ETL/ELT processes, and governance frameworks using GCP/AWS/Azure, SQL, Python, and Collibra to ensure secure, scalable, and well-documented data assets.
Build and scale data pipelines and platforms for a regulated AI fintech, using Spark, Snowflake, Kafka, Airflow, and Kubernetes to power analytics and product use cases.
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Data Engineer builds and maintains AML/regulatory data pipelines using SQL, designs data quality rules, and documents lineage for a major bank.
Design and maintain scalable ETL pipelines on GCP using Spark Serverless, Spark on GKE, and Python, with BigQuery, CloudSQL, and Pub/Sub for data processing and governance.
Lead the design and delivery of enterprise-grade data and modeling solutions for Finance, building scalable pipelines, forecasting engines, and semantic layers on cloud data platforms to support FP&A, regulatory reporting, and analytics.
Designs and builds scalable Snowflake-based data pipelines and architectures using Python, SQL, and cloud tools, optimizing performance and cost.
Senior Data Engineer builds scalable pipelines and models to turn connected-vehicle telemetry into insights that guide product and engineering decisions using Python, SQL, and GCP.
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.
Build and maintain scalable data pipelines and infrastructure to support analytics, reporting, and AI initiatives for Teladoc Health Canada’s virtual care platform.
Senior Data Engineer builds and maintains scalable data pipelines and lakehouse models to power analytics, AI, and operational decisions for BC Ferries' transportation network using SQL, Python, and PySpark.
Principal Data Engineer builds and scales the data platform at JobGet, a mobile-first hiring platform, using Snowflake, dbt, Kafka, and real-time streaming to power AI-driven job matching and analytics.
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.
Build and maintain Java-based microservices and Airflow pipelines for MSCI’s data catalog and marketplace, integrating Collibra for governance and enabling AI-driven data discovery.
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