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Data Engineer
Designs and maintains data pipelines, manages a data lake, and enriches datasets for internal and external use using SQL, cloud platforms, and ETL tools.
DEVOPS ENGINEER
Build and maintain AWS serverless pipelines: Glue ETL, Lambda integrations, DynamoDB writes, API Gateway endpoints, and CI/CD with CDK and Git.
Data Engineer
Build and maintain enterprise data pipelines and warehouses using Azure Synapse, ADF, and T-SQL to deliver analytics-ready datasets for a government client.
Lead Data Engineer
Build and maintain data pipelines in Snowflake and Azure, using DBT for transformations and GenAI tools to accelerate development while ensuring reliable data flow for analytics.
Senior Data Engineer
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.
Intermediate Data Engineer
Build and maintain scalable data pipelines in Azure, using Data Factory, Databricks, Synapse, and Data Lake to feed analytics and BI workloads.
Senior Analyst (Data Engineer)
Build and maintain secure, scalable data pipelines in Azure Synapse/Fabric using Python, Spark, and DevOps to ingest, transform, and validate financial datasets for regulatory reporting.
Hybrid Data Engineer Specializing in Azure and Databricks Development
Build and maintain Azure-based data pipelines and warehouses using Databricks and Synapse to power analytics and reporting for data-driven applications.
Senior Java Developer
Builds scalable regulatory reporting software in Java/Spring/Kafka/Singlestore, processing millions of financial transactions daily for global compliance.
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
Senior Associate builds data pipelines and AI-driven tools in Azure to optimize capital projects for PwC’s Real Assets advisory team.
Data Engineer / Data Architect & Software Developer — Azure / Databricks
Build and scale a cloud data platform for Ontario’s energy sector using Azure, Databricks, and Python/SQL to design pipelines, models, and AI apps within a governed enterprise environment.
Principal Data Engineer – Databricks
Principal Data Engineer designs and migrates enterprise data platforms to Databricks, building scalable Lakehouse architectures, PySpark pipelines, and finance-focused data models for reporting and risk analytics.
Data Designer
Designs and maintains scalable data pipelines, models, and warehouses to support analytics and product decisions using SQL, Spark, Kafka, and related tools.
Principal Databricks Data Engineer
Principal Data Engineer leading the migration from Cloudera to Databricks, building scalable Lakehouse architectures for finance and risk analytics using PySpark, Delta Lake, and Medallion patterns.
Senior Back-End / Data Engineer – Innovation team
Build and own the data pipelines, ML feature stores, and inference APIs that power renewable-energy analytics at scale, integrating forecasts into a SaaS platform for wind, solar, hydro, and storage assets.
Azure & Databricks Data Engineer - Hybrid Contract
Designs and builds Azure and Databricks data pipelines for a tech solutions provider, supporting data lakes and warehouses in a hybrid environment.
Senior Data Engineer (Sunnyvale, CA, On-Site)
Build and maintain scalable data pipelines and warehouses for a digital-health company, integrating medical-device telemetry and patient-monitoring data with cloud tools like Spark, Kafka, and Airflow.
Senior Data Engineer – Data Products & Modeling
Designs and builds Azure-based data products and models, engineering scalable pipelines with Databricks and Azure Data Factory to deliver analytics-ready datasets for BI and reporting.
Senior Data Engineer - (Canada-based)
Design and maintain scalable data pipelines using Python, SQL, Databricks, Snowflake, and cloud tools; lead a team of data engineers to deliver AI-driven marketing solutions.
Sr. Manager Data Engineering - Horizon3 Labs
Lead a team of data engineers to design and deliver scalable data platforms and pipelines for AI innovation projects, using Azure, Databricks, Spark, and Python.