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Data Engineer: Snowpark & DBT Pipelines | Hybrid
Designs and maintains Snowpark and DBT-based data pipelines for financial projects, implements CI/CD workflows, and supports data processing jobs in a hybrid setup.
Data Engineer
Build and maintain scalable data pipelines and platforms using Azure, Databricks, PySpark, and Python to enable analytics and AI workloads.
Data Engineer
Design and build scalable data pipelines and warehouses in cloud/on-prem, using SQL, Python, Spark and GCP to deliver analytics-ready data products.
Cloud Data Engineer: BigQuery, Airflow & Pipelines
Designs and maintains scalable data pipelines on GCP using BigQuery, Airflow/Cloud Composer, and Terraform to ensure reliable, high-performance data delivery for analytics and BI teams.
Data Engineer
Build and optimize scalable data pipelines, warehouses, and AI/ML integrations in Python and GCP for network investment analytics in a hybrid role.
Data Engineer
Design and build cloud and on-premise data platforms, ETL pipelines, and warehouses using SQL, Python, BigQuery, DBT, Airflow, and Trino to support analytics and reporting.
Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses using Databricks, PySpark, and SQL for a supply-chain-focused product team.
Data Engineer
Design and build scalable data pipelines and applications for regulatory reporting in a global investment bank, using Python, Databricks, Spark, and cloud tech.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.
Data Architect
Design and build a modern enterprise data warehouse and BI stack for Alberta Justice, consolidating legacy court reporting systems into a centralized SQL-based EDW with Power BI dashboards and governed ETL pipelines.
GCP Data Engineer – BigQuery & Pipelines
Design and maintain scalable data pipelines on Google Cloud using BigQuery, SQL, Python, Airflow, and Terraform for analytics and BI teams.
Data Engineer
Build and optimize data pipelines for research data egress/ingress, ensuring high availability and integration with AI tooling in a financial services environment.
GCP Data Engineer: BigQuery Pipelines & Airflow
Designs and maintains scalable GCP data pipelines using BigQuery, Airflow/Cloud Composer, Terraform, and CI/CD to deliver reliable analytics infrastructure.
Senior GCP Data Engineer: Cloud Pipelines
Designs and implements scalable GCP-based data pipelines and warehouses, enabling analytics and decision-making for business teams.
Data Engineer
Build and optimize SQL-based data pipelines and analytics in a Microsoft-centric stack to power expense and invoice management for Rydoo’s SaaS platform.
Sr. Data Scientist, Fraud Intelligence
Build and deploy AI-powered fraud detection models to protect Rakuten Rewards from abuse like promo stacking, account takeover, and coordinated fraud rings.
Senior Full Stack Engineer (Platform)
Build data-driven dashboards and tools in React/Node.js that visualize DeFi protocol risk using GraphQL APIs and EVM simulations.
Senior GCP Data Engineer—BigQuery & Data Warehousing
Senior GCP Data Engineer builds scalable BigQuery-based data platforms and pipelines for EY’s clients, using GCP, Agile, and DevOps.
Azure Data Engineer: Databricks, Pipelines & Data Warehousing
Designs and maintains Azure-based data pipelines and warehouses using Databricks, PySpark, SQL, and SSIS to deliver reliable data solutions.
Senior Data Engineer — End-to-End Data Warehousing
Senior Data Engineer builds and maintains scalable data pipelines and warehouses for risk management using Oracle, PL/SQL, and DataStage.