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Build and optimize Snowflake-based data pipelines and analytics platforms for large clients, integrating SAP and other sources while ensuring performance and maintainability.
Designs business data models and builds Snowflake-based datamarts/pipelines to optimize customer insights for a marketing/data team.
Senior ML engineer builds and deploys real-time fraud detection models using Python, PyTorch, and Spark to protect Affirm’s buy-now-pay-later transactions.
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
Analyzes transaction and user data to detect fraud and improve quality controls using SQL and Python, building reports and automation for Ozon’s marketplace.
Builds and maintains internal platform infrastructure for autonomous vehicle software development, testing, and deployment, including CI/CD, orchestration, and observability tools.
Build and own Owner’s data platform—designing scalable pipelines, transforming raw data into trusted analytics, and enabling AI-driven decision-making for local businesses.
Engineer -in-Training / Project Technologist (Water, Wastewater, Stormwater, Air & Environmental Compliance Projects) Emissions Reduction and Compliance Mississauga, ON Annual Salary Range: $55,000 to $70,000…
Builds and optimizes enterprise data pipelines using Python and Microsoft Fabric, ensuring scalability, maintainability, and compliance with governance standards in a real-estate tech company.
Builds and maintains scalable cloud-native data pipelines in Snowflake/AWS, focusing on ETL/ELT, data modeling, and quality for a 6-month contract role.
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
Build and maintain dbt-powered data models in Snowflake to support financial close and POS/payment reporting for a large Canadian enterprise.
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Builds and maintains GCP-based data pipelines (BigQuery, Kafka, Airflow) for fintech analytics, compliance, and AI/ML data prep, ensuring quality, scalability, and governance in a regulated environment.
Build and maintain large-scale data pipelines and ML platforms using Spark, Python, and Airflow while ensuring reliability and observability.
Builds and maintains a self-service ETL/ELT orchestration platform for Nordstrom, abstracting big data complexity (Kafka, S3, GCS, BigQuery, Postgres) to enable data scientists/analysts to extract insights efficiently. Focuses on cloud infrastructure (GCP/AWS), Terraform, Airflow, and data governance tools like dbt and Kafka.
Build and maintain data pipelines on AWS using PySpark, Python, and SQL to enable analytics and reporting.
Build and maintain dbt models and SQL transformations in BigQuery/ClickHouse to power reliable analytics and reporting across health, education, and media products.
Migrate a large Azure Data Factory estate to Databricks workflows on AWS, rewriting pipelines as reusable templates and tuning PySpark transformations for production data volumes.
Overview New L09 role will perform lead infra & devOps support duties for the Marketing Automation team within DTX, this engineer will be single point of contact for all application, Infrastructure and devOps…
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