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Salary
≈ $68k – $115k per year (Estimated)
Location
In office (Mississauga)
Seniority
Senior · 7+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Feb 27, 2026. Ltm scores B on the Alion truth index.

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Ltm

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors to get to the future faster by combining engineering DNA and tech expertise.

Job Title: Big Data Developer

Work Location : Mississauga , Canada

Job Description:Â

  • Â Seeking a Specialist with 7 to 9 years of experience in Apache Spark and Python to design develop and optimize scalable data processing solutions within the Python Data domain
  • Â Develop and maintain scalable and robust data pipelines using Apache Spark and Python Collaborate with data scientists and analysts to enhance and optimize data workflows Ensure data quality integrity and consistency across large and complex datasets Implement efficient data transformations and aggregations to support analytics and reporting Integrate data solutions seamlessly into existing systems by working closely with cross functional teams Monitor and troubleshoot data processing jobs to maintain high reliability and performance Stay updated with emerging trends technologies and best practices in big data and Python development

    Roles and ResponsibilitiesÂ

  • Â Â Design develop and optimize high performance data processing applications leveraging Apache Spark Write clean reusable and efficient Python code to support various data engineering initiatives Analyse complex datasets to extract actionable insights and identify trends Collaborate with stakeholders to gather requirements and deliver tailored data solutions that meet business objectives Mentor junior team members and promote knowledge sharing within the team Participate actively in code reviews to ensure adherence to coding standards and best practices Manage deployment of data pipelines and continuously monitor their health and performance in production environments
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