Sr. Data Engineer

Job Description

• Skill Set :

  azure databricks

• Total Experience :

  7.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  16/09/2026

• Job Expiry Date :

  31/10/2026

• Domain :

  IT

• Location :

  TORONTO [Canada]

• Job Reference No :

  4107454

Job Summary

This job posting is for an existing, active vacancy and we are looking to hire Sr. Data Engineer in WFH (Canada), immediately who has strong experience in Databricks, Delta Live Tables, Oops, Python , PyTest and PySpark.

Role Overview

Mandatory Skill:

• Programming Languages: Proficient in Python, PyTest and PySpark with a strong understanding software engineering best practice.
• Oops Concept: Strong Knowledge of It.
• Cloud Computing: Utilize Azure cloud-based data platforms, specifically leveraging Databricks and Delta Live Tables for data engineering tasks, while effectively utilizing services related to storage, compute, and security.
• Data Pipelines: Design, build, and maintain robust and scalable and automated data pipelines for batch and streaming data ingestion of data and processing (Data bricks workflow).
• Data Architecture and Modeling: Design and implement robust data models and architectures that align with business requirements and support efficient data processing, analysis, and reporting.
• Orchestration: Utilize workflow orchestration tools to automate data pipeline execution and dependency management.
• Monitoring and Alerting: Integrate monitoring and alerting mechanisms to track pipeline health, identify performance bottlenecks, and proactively address issues.
• Strong Agile principles: Utilize Agile development methodologies, actively participating in sprint planning, daily stand ups, sprint reviews, and retrospectives. Be flexible and adaptable to changing requirements and priorities throughout the project lifecycle.
• Unity Catalog

Good to Have:

• Github Actiom
• Datagog exposure
• Data Quality: Implement data quality checks and balances throughout the data pipeline, including profiling, validation, and root cause analysis, to ensure data accuracy, completeness, and consistency.
• CI/CD: Implement continuous integration and continuous delivery (CI/CD) practices for automated testing and deployment of data pipelines.

The pay range for this role is CAD $90,000 - CAD $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 client. 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]