Senior Data Engineer - Cleansing & Migration

Tata Consultancy Services; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Tata Consultancy Services in Canada is seeking a data engineer to enhance data readiness and governance across source and target systems. The role focuses on data cleansing, quality, validation, and remediation, with hands-on SQL, SAP data handling, and GCP BigQuery expertise.

You will collaborate with business and technical stakeholders to resolve data issues and implement best practices. The position emphasizes delivering accurate data and supporting AI/ML initiatives within a diverse,

Qualifications

• Strong hands-on experience with GCP BigQuery.
• Knowledge in handling SAP related data.
• Expertise in data cleansing, data quality, validation, and transformation.
• Experience analyzing data issues and identifying root causes.
• Strong SQL and data engineering skills.
• Ability to work across source and target systems to drive data remediation.
• Assess data quality issues across source and target environments.
• Define and recommend data cleansing and remediation approaches.
• Execute data clean-up activities (after customer validation), data validation, and reconciliation.
• Collaborate with business and technical stakeholders to resolve data inconsistencies.
• Develop and implement data quality controls and best practices.
• Provide proactive recommendations to improve data readiness and governance.

Skills

GCP BigQuery

Data cleansing

Data quality

Data validation

Data transformation

SQL

Data remediation

Root cause analysis

Tools

SAP

Job description

Tata Consultancy Services in Canada is seeking a data engineer to enhance data readiness and governance across source and target systems. The role focuses on data cleansing, quality, validation, and remediation, with hands-on SQL, SAP data handling, and GCP BigQuery expertise.

You will collaborate with business and technical stakeholders to resolve data issues and implement best practices. The position emphasizes delivering accurate data and supporting AI/ML initiatives within a diverse,