Sr. Data Tester

Job Summary
This job posting is for an existing, active vacancy and We are looking to hire Sr. Data Tester in Canada (Remote), immediately who has experience in Data Quality testing:

Role Overview:

We are seeking a highly skilled Senior QA Engineer - Data who brings not only strong technical expertise but also proven leadership experience. The ideal candidate is hands-on with automation frameworks, capable of designing, enhancing, and maintaining robust end-to-end automation solutions. This role requires someone who is self-driven, proactive, and able to take full ownership of quality initiatives.

The candidate must have demonstrated experience in defining and implementing QA strategies, driving best practices, and influencing both technical and non-technical stakeholders. We are looking for someone who can mentor team members, lead quality discussions, and help elevate the overall testing discipline across the organization.

Mandatory Skills:

• Strong experience with Azure Databricks
• Hands-on experience with Azure Data Factory (ADF)
• Good knowledge of Change Data Feed (CDF) / CDC concepts and implementation
• Experience in Kafka consumption as a source for real-time or near real-time data ingestion
• Strong SQL skills with experience in PostgreSQL, SQL Server, or other relational databases
• Proficiency in Python for data engineering tasks
• Strong experience in PySpark for distributed data processing
• Experience building ETL/ELT pipelines
• Understanding of data warehousing and data lake/lakehouse concepts
• Familiarity with performance tuning for Spark jobs and SQL queries
• Knowledge of data validation, reconciliation, and error handling
• Version control experience using Git or similar tools)

Key Responsibilities:

• Lead and execute comprehensive Data Quality and ETL testing efforts across the Cost & Margin domain.
• Design and implement robust test plans, test cases, and test data to ensure accuracy and completeness of cost-related data pipelines.
• Perform advanced SQL querying to validate transformations and trace root causes of data discrepancies.
• Analyze large datasets for data profiling, balancing, auditing, and reconciliation in production systems.
• Work with legacy and modern platforms (e.g., RMS, Manhattan, Blue Yonder) to identify and resolve data-related issues in real-time.
• Collaborate closely with Data Engineers, Product Owners, and other domain stakeholders to address data production issues and implement effective solutions.
• Participate in the architectural understanding of systems and interpret system & architecture diagrams to identify potential problem areas.
• Summarize test findings and quality metrics into clear, insightful reports and dashboards.
• Embrace agile, product-centric processes and self-organize within cross-functional teams to deliver results.

Qualifications

• 8+ years of Quality Assurance experience, with strong experience implemented QA processes and Automated frameworks
• Strong leadership experience, with the ability to mentor, guide, and lead QA teams.
• Proven experience in developing QA strategies, implementing processes, and driving continuous improvement initiatives.
• Hands-on expertise in automation frameworks such as Playwright, Karate, and Rest Assured.
• Strong proficiency in SQL querying, data validation, and troubleshooting data issues.
• Experience designing, maintaining, and improving test automation frameworks and best practices.
• Strong analytical and problem-solving skills, particularly in complex or production-like environments.
• Understanding of information governance, compliance standards, and quality controls within data-centric solutions.
• Experience with Python for data analysis or QA utility scripting is a plus.
• Ability to independently drive work, collaborate cross-functionally, and take ownership of quality outcomes.

Good to Haves

• Knowledge of warehouse systems is a plus.
• Experience supporting major system conversion or data migration projects.
• Experience working with tools such as Informatica PowerCenter, IDQ, and test data preparation techniques.
• Familiarity with cost and margin data flows within retail and enterprise systems.
• Good communication in English.

The pay range for this role is $100,000 - $120,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
"Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected] ."