Senior Data Engineer

Hybrid in Toronto, ON, CA • Posted 7 hours ago • Updated 7 hours ago
Contract Independent
Contract W2
6 Months
No Travel Required
Hybrid
70+
Fitment

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Job Details

Skills

  • Data Engineer

Summary

In person interview required
 
Experience- 8+ years
Need Senior Data Engineers with strong Scala, Spark, SQL, and modern data platform experience.
 
About the Role
We are looking for a highly motivated Senior Data Engineer with 5+ years of experience in building scalable data solutions. This role offers the opportunity to influence architecture, shape modern data platforms, and enable data-driven insights across the organization. You will work closely with cross-functional teams to design, develop, and maintain high-performance data pipelines and platforms.
 
Required Skills
  • Scala
  • Spark
  • SQL
  • Data Lakes
  • Data Pipelines
  • Data Structures
  • Data Intelligence
 
Nice to Have
  • Python (PySpark)
  • Machine Learning
 
Key Responsibilities
  • Design and build scalable data pipelines using Scala, Spark, and SQL.
  • Develop core components of modern data platforms.
  • Collaborate with data analysts, data scientists, and product teams to understand data requirements.
  • Ensure data quality, consistency, and availability for analytics and reporting.
  • Monitor and optimize data workflows for performance and reliability.
  • Contribute to system architecture and cloud-native platform design.
  • Evaluate and adopt modern data intelligence tools and practices.
 
Requirements
  • Strong hands-on experience with Scala and large-scale data processing.
  • Deep expertise in SQL and data transformation.
  • Proven experience in data engineering and pipeline development.
  • Experience with distributed systems and cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Strong understanding of data modeling, warehousing, and governance.
  • Ability to thrive in a collaborative Agile environment.
 
Preferred Qualifications
  • Experience with Python for scripting, analytics, or ML use cases.
  • Exposure to ML pipelines or MLOps.
  • Familiarity with data intelligence and data cataloging tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91163703
  • Position Id: 9042824
  • Posted 7 hours ago
Contact the job poster
Avinash Kumar

Avinash Kumar

Recruiter @ Altitude Technology Solutions Inc
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