Azure Data Platform Engineer
- Toronto, ON, Canada
$90,000 to $100,000 CAD / year · Full-time
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Job details
- Pay
- $90,000 to $100,000 CAD / year
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Inclusion without Exception
Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.
TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.
Rooted in the heritage and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.
TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.
Job Description :-
Azure Data Platform Engineer
- Design, build, and operate scalable, secure, and resilient enterprise data platforms on Microsoft Azure.
- Engineer core platform capabilities using Azure Databricks, Data Factory, Data Lake Storage, Synapse/Fabric, and SQL.
- Implement CI/CD, Infrastructure as Code, monitoring, logging, automation, and environment management using Azure DevOps/Terraform.
- Establish platform controls for security, access management, data governance, performance, reliability, and cost optimization.
- Bring good years of cloud/data engineering experience with strong hands-on expertise in Azure data services, Python/PySpark, SQL, and DevOps.
- Ideal for a hands-on platform engineer passionate about building modern, reusable data foundations that enable Data, Analytics, and AI teams at scale.
Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.
Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.
More about this job
Responsibilities
Design, build, and operate scalable, secure, and resilient enterprise data platforms on Microsoft Azure using services such as Databricks, Data Factory, Data Lake Storage, Synapse/Fabric, and SQL. Implement automation, CI/CD, infrastructure as code, monitoring, and platform controls for security, governance, performance, reliability, and cost optimization.
Requirements
Requires substantial cloud and data engineering experience, with hands-on expertise in Azure data services, Python or PySpark, SQL, and DevOps. The role is suited to a hands-on platform engineer who can build reusable data foundations for data, analytics, and AI teams.
Skills
- Azure Data Services
- Azure Databricks
- Azure Data Factory
- Azure Data Lake Storage
- Azure Synapse
- Microsoft Fabric
- SQL
- Python
- PySpark
- Azure DevOps
- Terraform
- Infrastructure As Code
- CI/CD
- Data Governance
- Cloud Engineering
- Data Engineering
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting
Keywords
- Microsoft Azure
- Azure Databricks
- Azure Data Factory
- Azure Data Lake Storage
- Azure Synapse
- Microsoft Fabric
- SQL
- Python
- PySpark
- Azure DevOps
- Terraform
- Infrastructure As Code
- CI/CD
- Enterprise Data Platforms
- Cloud Engineering
- Data Engineering
- Platform Engineering
- Automation
- Environment Management
- Monitoring
- Logging
- Security
- Access Management
- Data Governance
- Performance Optimization
- Reliability
- Cost Optimization
- Analytics
- Artificial Intelligence