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Big Data Engineer

  • Mississauga, ON
  • On-site
  • Posted Oct 15, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

Apply Python, advanced SQL, and big data technologies to engineering work involving distributed data systems. Resolve errors proactively and collaborate with cross-functional teams through clear communication.

Job details

Location : Irving, TX / Mississauga, ON Required Technical Skills : Total Exp : 7+ Core Languages: Mastery of Python (object-oriented design patterns, scripting) and strong proficiency in advanced SQL (window functions, CTEs, complex joins). Big Data Frameworks: Deep technical expertise in PySpark (Spark Core, Spark SQL, Spark Streaming), HDFS, Hive, and distributed system architectures Soft Skills: Outstanding problem-solving ability, proactive error resolution habits, and clean communication skills tailored for cross-functional collaboration

What you’ll do

Apply Python, advanced SQL, and big data technologies to engineering work involving distributed data systems. Resolve errors proactively and collaborate with cross-functional teams through clear communication.

Requirements

Requires 7 or more years of experience, mastery of Python and strong proficiency in advanced SQL. Candidates should have deep expertise in PySpark, HDFS, Hive, and distributed system architectures, along with strong problem-solving and communication skills.

Listed skills

  • Problem solving · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Object-Oriented Design
  • Scripting
  • Advanced SQL
  • Window Functions
  • Common Table Expressions
  • Complex Joins
  • PySpark
  • Spark Core
  • Spark SQL
  • Spark Streaming
  • HDFS
  • Hive
  • Distributed Systems
  • Problem-Solving
  • Cross-Functional Communication

Job areas

  • Technology
  • Data & Analytics
  • Software
  • Consulting

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