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Location
In office (Mississauga)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States; no register of this country names it

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Oct 29, 2026. LTM scores B on the Alion truth index.

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LTM

LTM, formerly LTIMindtree, is an Indian IT services and consulting company providing application development, cloud, data engineering, AI, enterprise application implementation and managed services to large enterprises. Headquartered in Mumbai and majority-owned by Larsen & Toubro, it was formed in 2022 by the merger of L&T Infotech, founded in 1996, and Mindtree, and is listed on the BSE and NSE. It hires Salesforce and full-stack developers, data engineers, program managers and software engineers in Bengaluru, Kolkata, Pune and Bellevue, Washington.

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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