Senior Specialist - Data Engineering

Role description Job Title: Data Bricks Developer Work Location : Mississauga-Ontario-CA Job Summary Hadoop to Databricks Migration Expert responsible for leading largescale modernization of legacy Hadoop ecosystems to AWS and Databricks cloud platforms Must have proven experience migrating HBase Hive HDFS Spark and onprem ETL workloads to scalable cloudnative architectures Drives endtoend migration strategy including assessment of currentstate platforms dependency mapping workload prioritization performance benchmarking and targetstate architecture design Strong expertise in HBase to cloud migration including data model redesign performance optimization schema conversion and replacement strategies using Databricks Delta Lake cloud object storage or NoSQL alternatives where needed Handson experience in Spark migration from onprem clusters to Databricks including job refactoring cluster optimization orchestration redesign and costperformance tuning Works closely with infrastructure security application and business teams to ensure minimal disruption and strong governance during transition Responsible for migration patterns automation frameworks reconciliation controls data validation and production cutover planning Ensures platform reliability scalability and regulatory compliance while reducing operational cost and technical debt Experience with AWS services such as S3 IAM EC2 Glue EMR Kafka integration and enterprise data governance is strongly preferred 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 [email protected] so that arrangements can be made for the appropriate accommodations to be in place.

The role involves leading the migration of legacy Hadoop ecosystems to AWS and Databricks cloud platforms. This includes developing migration strategies, ensuring platform reliability, and collaborating with various teams to minimize disruption during the transition.

Candidates must have proven experience in migrating HBase, Hive, HDFS, and Spark workloads to cloud-native architectures. Strong expertise in data model redesign and hands-on experience with Spark migration to Databricks is essential.

• 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

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Hadoop
• Databricks
• AWS
• HBase
• Hive
• HDFS
• Spark
• ETL
• Data Migration
• Cloud Platforms
• Data Validation
• Performance Optimization
• Schema Conversion
• Automation Frameworks
• Data Governance
• Cost Performance Tuning

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

Expérience minimale

5+ ans

Postuler avant le

8 nov. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level