Senior Specialist - Data Sciences

Role description As a Data Engineer you will responsible for budding optimizing and maintaining data pipelines using distributed computing on Cloud The ideal candidate is an experienced data wrangler who can understand and optimize data systems from the ground up The Data Engineer will support our software developers data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture that is consistent throughout ongoing projects They must be selfdirected and comfortable supporting the data needs 01 multiple teams systems and products Responsibilities Develop Operationalize scalable and reliable data pipelines Assemble large complex data sets that meet functionalnonfunctional business requirements Experience in database management techniques including logical data modeling physical database optimization and security Keep improving the integrity Of data pipelines by setting up Data Quality checks to provide a comprehensive data service Work with Data and Analytics experts to strive tor greater functionality in our data systems Experience with OnCall support and unblock users based on severity of the issue Qualification Years of experience in Engineering and Operationalizing Data Pipelines with large and complex datasets Years Of experience working With Unstructured data JSON Extensive experience in Advanced SQL Years Of experience in PythonPySpark Years of experience with transforming data using Databricks Years Of experience With AWS Experience with GIT CICD power Bl or similar visualization Other details 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 so that arrangements can be made for the appropriate accommodations to be in place.

The Data Engineer will develop and operationalize scalable and reliable data pipelines while assembling large complex data sets. They will also work with data and analytics experts to improve data systems and ensure optimal data delivery architecture.

Candidates should have extensive experience in engineering and operationalizing data pipelines with large datasets and unstructured data. Proficiency in SQL, Python, and experience with AWS and Databricks are also required.

• 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.

• Data Engineering
• Data Pipelines
• Distributed Computing
• Data Quality
• SQL
• Python
• PySpark
• Databricks
• AWS
• GIT
• CICD
• Data Visualization

• Technology
• Engineering
• Data & Analytics
• Software
• Consulting

Minimum experience

5+ years

Apply by

Oct 19, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level