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Posted 5 days ago

Specialist - Data Engineering

@ LTM

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Ontario

Full-time5+ years experience
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SIGNALS

Requirements summary:

  • Seeking a Specialist with 5 to 7 years of experience in Scala and Apache Spark to design develop and optimize scalable big data processing solutions within the Hadoop Spark SparkSQL…
  • Design develop and optimize scalable data processing applications using Scala and Apache Spark Collaborate with crossfunctional teams including data scientists analysts and architects to…
  • Collaborate with stakeholders to gather requirements and deliver effective data solutions

Tools & skills

Data engineeringScalaApache SparkProcess dataApache HadoopDistributed computingTroubleshootNegotiate with stakeholdersProcess improvementMonitor system performanceEstimatingRegulatory compliance
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-08
First seen by our source
2026-11-14
Source record updated
2026-11-14

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

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Job description
Role Description

Job role : Spark and scala developer

Location : Mississauga ,Ontario

Job Summary

Seeking a Specialist with 5 to 7 years of experience in Scala and Apache Spark to design develop and optimize scalable big data processing solutions within the Hadoop Spark SparkSQL ecosystem

Job Description

Design develop and optimize scalable data processing applications using Scala and Apache Spark Collaborate with crossfunctional teams including data scientists analysts and architects to build and maintain robust data pipelines Analyze large and complex datasets to extract actionable insights supporting business objectives Develop highperformance applications in distributed computing environments leveraging SparkSQL Ensure code quality maintainability and adherence to Scala programming best practices Continuously evaluate and integrate emerging big data technologies and tools to enhance platform capabilities Troubleshoot and resolve complex data processing issues to maintain system reliability Document technical designs and implementation details for effective knowledge sharing

Roles and Responsibilities

Lead the development and deployment of big data solutions leveraging Scala Apache Spark and SparkSQL

Collaborate with stakeholders to gather requirements and deliver effective data solutions

Optimize Spark jobs for performance and scalability in production environments

Mentor junior team members and provide technical guidance on best practices

Conduct code reviews to ensure adherence to coding standards and promote continuous improvement

Monitor system performance proactively and address bottlenecks or failures

Participate in sprint planning estimation and agile ceremonies to deliver highquality software

Ensure compliance with data governance and security policies

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