
SumasEdge Corporation
Hybrid in Toronto, Ontario • Today
Easy Apply
Contract, Third Party
Depends on Experience
1 results (1 new)

SumasEdge Corporation
Hybrid in Toronto, Ontario • Today
Easy Apply
Contract, Third Party
Depends on Experience

Mandatory Skills: DataBricks - Data Engineering .
Experience: 8-10 Years .
🫥 Flibbertigibetting...
Hybrid in Toronto, Ontario
•
11d ago
Position Details: Lead DE / Solution LeadToronto, ON (Hybrid - 4 days office)Full Time Responsibilities::Design scalable, secure, and high-performance cloud solutions on Microsoft Azure servicesDesign large-scale data processing and analytics solutions using Azure Databricks.Develop comprehensive architecture blueprints and technical documentation for data solutions.Lead the implementation of Databricks-based solutions, ensuring alignment with best practices and business requirements.Lead Data M
Easy Apply
Full-time
$120,000 - $125
California
•
Today
Hiring: Data Architect (Azure + Databricks) Location: Milpitas, CA (Hybrid 4 Days Onsite) Employment Type: W2 Local Bay Area Candidates Only We are seeking a hands-on Data Architect with deep expertise in Azure and Databricks to design, build, and optimize enterprise data platforms and products. Key Responsibilities: Design scalable, secure, and cost-effective data architectures on Azure and Databricks Build data lakehouse solutions using Delta Lake and Medallion Architecture Develop producti
Easy Apply
Contract
Remote
•
Today
Job Role: Databricks Data Engineer / Data Platform Consultant Location: Remote Duration: Long Term Project No C2C only W2 Mandatory Requirement: Databricks Partner Certification (Required Client will not consider resumes without this certification) Job Summary We are seeking an experienced Databricks Data Engineer / Data Platform Consultant with a valid Databricks Partner Certification to design, develop, and optimize enterprise-scale data platforms using Databricks Lakehouse technologies. Th
Contract
$DOE
Remote
•
20d ago
Role: Databricks Developer Location: Plano, TX (Remote) Description: Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks. Required Skills: Extensive hands-on experience with Databricks and Apache Spark (PySpark, Scala, or SQL) - 8+ years of experience Proficiency in at least one programming language (Python, Scala, or Java) - 5+ years of experience Strong understanding of cloud data architectures (Azure Data
Easy Apply
Contract
Depends on Experience