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Remote Technical Implementation Engineer — Data & ETL Specialist
A remote first organization is seeking a Technical Implementation Engineer to configure and implement their AI-driven platform for customer success. The role requires strong skills in data analysis, ETL, and…
Manager, Engineering and Data Platform
Lead a team to build scalable data platforms and AI-driven solutions using Power Platform, Power BI, MuleSoft, and Azure DevOps for a real-estate company.
Senior Data Platform Engineer — Snowflake & Terraform
Build and maintain Snowflake-based data infrastructure and PCI-compliant ETL pipelines using Python, SQL, Airflow, and Terraform for a fintech payments platform.
Full Stack Data Science Engineering Specialist
Build and deploy AI/ML models and analytics pipelines to drive business decisions in banking, using Python, PySpark, SQL, and cloud platforms like Azure.
Azure Data Migration Engineer Contract (1775)
Business Operations Manager at Direct IT Recruiting Inc., WBE Canada Certified NOTE: Hybrid work model, 3 days/week in Toronto, Ontario office. TYPE: 12-month contract SKILLS: 5+ Cloud Data Migration Engineer,…
Databricks Architect: Real-Time Data & Spark Pipelines
Designs and optimizes real-time ETL pipelines on Databricks and Spark, integrating data via APIs and CI/CD workflows for large-scale processing.
Azure Data QA & Automation Engineer
Validates and automates testing of ETL pipelines in Azure, ensuring data quality and integrity; core tools include Azure Data Factory, Databricks, and SQL.
Data Platform Engineering Manager
Lead a team to build and operate a Databricks-based data platform that ingests, transforms, and delivers enterprise technology data for analytics, reporting, and AI use cases in a large financial institution.
Senior Data Platform Engineer
Build and maintain a governed, AI-ready data lakehouse (Databricks/Snowflake) that unifies SAP, POS, IoT, and unstructured data for analytics, ML, and GenAI use cases.
Senior Data Platform Engineer
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and distributed tracing with Java, Kafka, and Spark.
Senior Data Platform Engineer
Design and own RAZR’s real-time/batch data pipelines using Debezium, Kafka, Flink, and Snowflake, then deliver analyst-ready datasets and dashboards.
Staff Data Platform Engineer
Build and scale a petabyte-scale data platform for real-time telematics APIs, focusing on streaming ingestion, lakehouse storage, and analytics using Java, Kafka, Flink, and Iceberg.
Lead Data Solution Engineer
Lead the design and delivery of an enterprise-scale HR data platform using Snowflake, ETL/ELT pipelines, and cloud data architecture to modernize HR systems and analytics.
Business Analyst/Data Engineer - Life Sciences/Pharma Industry Exp - 8+ Years of exp
Designs and maintains ETL pipelines in Snowflake, builds MicroStrategy dashboards, and documents business requirements for life-sciences data analysis and reporting.
Data Platform Engineering Manager
Lead a team to design and operate TD’s Databricks-based data platform, building pipelines that ingest and transform infrastructure, cyber, cloud, and AI data into reliable, governed enterprise assets for analytics and reporting.
Data Platform Engineer - 7+ Year
Lead the design and build of scalable data pipelines and platforms using Python, PySpark, Hadoop, Databricks, and cloud tools to power analytics, AI/ML, and business intelligence for enterprise clients.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines in Azure to drive data-driven decisions for a retail bank, using Python, PySpark, and Power BI.
Full Stack Data Science Engineer
Build and deploy AI/ML models and analytics pipelines to drive data-driven decisions in banking, using Python, PySpark, Azure, and Power BI.
Data Engineer - IFRS17, C#, SQL, MVC, WPF
Builds and maintains data pipelines and backend systems for IFRS17 compliance in insurance, using Python, PySpark, SQL, and cloud platforms.
Data Platform Engineer
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.