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Build and maintain data pipelines, ensure data quality, and integrate systems using Python, APIs, databases, and visualization tools like Power BI or Streamlit.
Senior Data Engineer builds and optimizes cloud-based data pipelines using PySpark, SQL, and cloud services (Azure, AWS, GCP) to deliver scalable analytics solutions for enterprise clients.
Build and maintain data pipelines, clean and transform datasets, and integrate data flows into backend services and dashboards using Python, SQL, and orchestration tools.
Build and maintain scalable data pipelines and models for a media company, using SQL, Python, dbt, Airbyte and Airflow to power analytics and ML systems.
Build and maintain Python-based analytics apps with Streamlit, integrate generative AI models (OpenAI, DeepSeek), and develop modular microservices using Clean Architecture and Docker.
Build and deploy AI-powered microservices using Python backend and React frontend, integrating LLMs and cloud services for digital transformation projects.
Build the core AI system that predicts reuse value of building components, migrating a Python/Streamlit prototype to robust, deployable code with graph data and GNNs.
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Build AI-powered data workflows in Snowflake for a bank: integrate LLMs via Cortex, design RAG pipelines, and ship Streamlit features that help engineers and business users query and analyze financial data.
Builds data pipelines, ETL/ELT processes, and full-stack web apps in Python/SQL with React or Angular; maintains time-series databases and Databricks/Spark clusters; sets up real-time monitoring and dashboards.
Build and deploy AI-powered data pipelines and autonomous workflows for a telemedicine platform, focusing on LLM integration, data validation, and scalable analytics.
Build and maintain AI-powered full-stack applications and agentic systems for a pharmaceutical client using Python, AI frameworks (LangChain, LangGraph), and AWS.
Build and maintain Snowflake transformation layers that turn raw banking data into clean, governed datasets for risk modeling and regulatory reporting, using SQL, Snowpark, and Airflow.
Senior AI Data Engineer builds autonomous pipelines and integrates LLMs to power Telemedi’s telemedicine platform, using BI tools like Streamlit and Power BI.
Builds AI-powered applications and integrates AI agents into business workflows using Python, AWS, and frontend tools like Streamlit or React.
Builds data pipelines, designs dashboards with Streamlit, and analyzes product metrics to inform business decisions in a fast-paced Toronto startup.
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Build and maintain high-performance data pipelines in Snowflake and AWS, using dbt Core/Cloud and Python to power analytics and AI initiatives for an insurance company.
Build interactive Python web apps (Dash/Streamlit) that connect to backend engines, handle enterprise auth, and scale for thousands of users while optimizing performance.
Optimize a Python/Streamlit app by tuning PostgreSQL queries, reducing memory usage, and improving API integrations.
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