Data Migration Lead: Azure ETL & QA Expert in Toronto

Data Migration Lead: Azure ETL & QA Expert in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
T

At a Glance

  • Tasks: Lead cloud data migrations and ensure quality assurance using Azure technologies.
  • Company: Join Tata Consultancy Services, a leader in tech innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on career advancement.
  • Why this job: Make a significant impact by ensuring seamless data migration for businesses.
  • Qualifications: Experience in data migration, Azure ETL, and QA processes.

The predicted salary is between 121500 - 148500 $ per year.

Tata Consultancy Services Canada Inc. is seeking a skilled Data Migration Lead to drive enterprise-scale cloud data migrations with strong QA and data validation expertise.

You will lead end-to-end strategy, execution, and quality assurance for complex migration tracks using Azure Databricks and Azure Data Factory.

The role bridges technical data engineering and business stakeholders, ensuring secure, accurate migration with zero business disruption.

#J-18808-Ljbffr

Data Migration Lead: Azure ETL & QA Expert in Toronto employer: Tata Consultancy Services

Tata Consultancy Services (TCS) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Senior Business Analyst to thrive. With a strong commitment to employee growth, TCS offers extensive training programs and opportunities to work on cutting-edge projects in the IT sector. Located in Canada, employees benefit from a diverse work environment and the chance to contribute to impactful banking solutions while enjoying a healthy work-life balance.

T

Contact Details:

Tata Consultancy Services Recruitment Team

We think you need these skills to ace Data Migration Lead: Azure ETL & QA Expert in Toronto

Data Migration
Azure Databricks
Azure Data Factory
Quality Assurance (QA)
Data Validation
Technical Data Engineering
Project Management