Senior Data Engineer

Role description Job Title: Data Modeller Work Location : Mississauga-Ontario-CA Job Summary Seeking a Senior professional with 3 to 5 years of experience in Dimensional Data Modeling within the Data Modeling domain to design and optimize data structures for business intelligence and analytics Job Description Design and develop dimensional data models to support analytics and reporting needs Collaborate with data architects and business stakeholders to translate requirements into effective data models Ensure data integrity and consistency across various data sources Analyze current database schemas and recommend enhancements for scalability and performance Maintain comprehensive documentation of data models and related database schemas Stay current with industry trends and best practices in dimensional data modeling Roles and Responsibilities Lead the design and implementation of dimensional data models aligned with business objectives Work closely with ETL developers to facilitate smooth data integration and transformation processes Conduct data profiling and validation to ensure data accuracy and completeness Provide guidance and mentorship to junior team members on data modeling principles and techniques Collaborate with crossfunctional teams to support data analytics and reporting initiatives Troubleshoot and resolve issues related to data modeling and database performance Participate in code reviews to enforce adherence to data modeling standards and best practices 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 Senior Data Engineer will design and develop dimensional data models to support analytics and reporting needs while collaborating with data architects and business stakeholders. They will also lead the implementation of data models aligned with business objectives and provide guidance to junior team members.

Candidates should have 3 to 5 years of experience in Dimensional Data Modeling and be able to analyze current database schemas for enhancements. They must also stay current with industry trends and best practices in data modeling.

• 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

Identified from the job description. Confirm important requirements above.

• Dimensional Data Modeling
• Data Integrity
• Data Consistency
• Database Schemas
• Data Profiling
• Data Validation
• Data Analytics
• ETL Development
• Data Integration
• Data Transformation
• Documentation
• Mentorship
• Collaboration
• Troubleshooting
• Code Reviews
• Performance Optimization

• Technology
• Data & Analytics
• Software
• Consulting

Minimum experience

5+ years

Apply by

Nov 23, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level