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Navixus provides strategy, consulting and leading-edge technologies to make the most of every customer touchpoint.
The Role
Design, build, and maintain scalable batch and streaming data pipelines on Azure Databricks using PySpark and Delta Live Tables. Implement data modeling, orchestration, monitoring, data quality checks, and CI/CD. Collaborate in Agile teams and apply software engineering best practices, OOP principles, and Unity Catalog for governance.
Summary Generated by Built In
Job Summary
This job posting is for an existing, active vacancy and We are looking to hire Advance Data Engineer in Canada (WFH), immediately who has strong experience in Python, PyTest, PySpark , Databricks and Delta Live Tables.
Role Overview:
Mandatory Skill:
Good to Have:
The pay range for this role is CAD $100,000 - CAD $125,000* 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]
This job posting is for an existing, active vacancy and We are looking to hire Advance Data Engineer in Canada (WFH), immediately who has strong experience in Python, PyTest, PySpark , Databricks and Delta Live Tables.
Role Overview:
Mandatory Skill:
- Programming Languages: Proficient in Python, PyTest and PySpark with a strong understanding software engineering best practices.
- 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 $100,000 - CAD $125,000* 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]
Skills Required
- Proficient in Python
- Proficient in PyTest
- Proficient in PySpark
- Experience with Databricks
- Experience with Delta Live Tables
- Experience with Azure cloud-based data platforms (storage, compute, security)
- Strong knowledge of OOP concepts
- Design, build, and maintain batch and streaming data pipelines (Databricks Workflows)
- Design and implement data architecture and data models
- Use of workflow orchestration tools to automate pipelines
- Integrate monitoring and alerting for pipelines
- Familiarity with Agile development methodologies and active participation in Agile ceremonies
- Unity Catalog
- GitHub Actions
- Datagog exposure
- Implement data quality checks and validation throughout pipelines
- Implement CI/CD practices for testing and deployment of data pipelines
What the Team is Saying
Kim
Director
Navixus | Tech Mahindra Compensation & Benefits Highlights
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Healthcare Strength — Offerings include medical, dental, vision, mental‑health benefits, FSA, wellness programs, and pet insurance. Corporate materials also describe health and accident insurance and maternity/parental coverage for permanent employees, reinforcing comprehensive protection.
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Flexible Benefits — Work models include hybrid/remote options, flexible schedules, and a remote‑work program. A home‑office stipend and related setup support are listed for eligible roles.
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Leave & Time Off Breadth — Paid holidays, PTO/sick time, and floating holidays are explicitly included. Parental and family leave, bereavement, and volunteer time are also highlighted in public materials.
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The Company
What We Do
At Navixus, we’re reinventing the customer experience (CX). We help enterprise-level companies solve the most complex CX and contact center problems. We equip our Clients with the strategies, technologies, cross-platform analytics and out of the box, fresh ideas so they can provide their customers with world-class service experiences, and interact across multiple channels.
Why Work With Us
At Navixus you have an opportunity to positively impact the way our clients engage with their customers which in turn improves their customer experience and business outcomes. If you are looking to grow your career, learn more, develop new skills, and work in a highly collaborative environment then you’ve come to the right place.
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Navixus | Tech Mahindra Teams
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About our Teams
Navixus | Tech Mahindra Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Our hybrid model encompasses a team of remote employees who have access to the office in the Denver metro anytime they like.
Typical time on-site:
Not Specified
Englewood, CO
The Denver Tech Center is just south of the city of Denver. We are walking distance to the Lincoln Avenue RTD station, restaurants, trails, and more.
