Senior Data Engineer

Role description Job Title: Hadoop ,spark and scala Developer Work Location : Mississauga-Ontario-CA Job Summary Seeking a Specialist with 3 to 5 years of experience in Scala to design and develop scalable big data solutions within the Hadoop and Spark ecosystem Job Description Develop robust and efficient data processing applications using Scala Work extensively with Hadoop and Spark frameworks to handle largescale data sets Utilize SparkSQL for querying and transforming data to meet business requirements Collaborate with crossfunctional teams to design and implement scalable data pipelines Optimize existing data workflows and improve system performance Ensure code quality by following best practices and conducting thorough testing Stay updated with emerging technologies in big data and Scala development Roles and Responsibilities Design develop and maintain scalable big data solutions leveraging Scala and Spark Implement complex data processing logic and algorithms to support analytics and reporting needs Troubleshoot and resolve issues related to data ingestion transformation and storage Participate in code reviews and provide constructive feedback to peers Mentor junior team members and share knowledge on Scala and big data technologies Collaborate with data engineers architects and stakeholders to understand requirements and deliver solutions Monitor system performance and implement enhancements to improve reliability and efficiency Other details Vacancy Type: New Vacancy Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Health Care Spending Account Short Term and Long-Term Disability Coverage Life Insurance Annual vacation and other Paid Leaves Maternity Leave Top Up Pay The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Accessibility and Reasonable Accommodation: LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at applicantaccommodation.canada@ltimindtree.com so that arrangements can be made for the appropriate accommodations to be in place.

The role involves designing, developing, and maintaining scalable big data solutions using Scala and Spark. Responsibilities include implementing complex data processing logic and collaborating with teams to deliver effective solutions.

Candidates should have 3 to 5 years of experience in Scala and be proficient in Hadoop and Spark frameworks. The role requires strong problem-solving skills and the ability to optimize data workflows.

• Comprehensive Medical Plan • Covering Medical • Dental • Vision • Health Care Spending Account • Short Term and Long-Term Disability Coverage • Life Insurance • Annual Vacation and Other Paid Leaves • Maternity Leave Top Up Pay

• Data analysisPreferred

Identified from the job description. Confirm important requirements above.

• Hadoop
• Spark
• Scala
• Data Processing
• Data Pipelines
• SparkSQL
• Data Transformation
• Code Quality
• System Performance
• Data Ingestion
• Data Storage
• Analytics
• Reporting
• Mentoring
• Collaboration
• Troubleshooting

• Technology
• Data & Analytics
• Software
• Consulting

Minimum experience

2+ years

Apply by

Nov 28, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level