Azure Data Engineer / Business Analyst
- Toronto, ON, Canada
$100,000 to $120,000 CAD / year · Full-time
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Job details
- Pay
- $100,000 to $120,000 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 :-
- Own the journey from business requirement to Azure data solution, translating business needs into scalable technical designs and deliverables.
- Design and develop data pipelines, ETL/ELT workflows and integrations using Azure Data Factory, Databricks, PySpark and SQL.
- Work with business stakeholders to conduct requirements workshops, process/data analysis, user stories and acceptance criteria.
- Perform data mapping, profiling, validation and reconciliation, ensuring business rules are accurately implemented in data solutions.
- Collaborate with architects, developers, QA and business teams to manage requirements, dependencies, defects and delivery outcomes.
- Bring good years of data/technology experience with strong Azure data engineering skills and demonstrated business analysis capability.
- Ideal for a techno-functional professional who can comfortably bridge business conversations and hands-on data engineering.
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
Translate business requirements into scalable Azure data solutions, designing and developing pipelines, ETL/ELT workflows, and integrations. Work with stakeholders and delivery teams to analyze data and processes, manage requirements and dependencies, and ensure business rules are implemented and delivery outcomes are met.
Requirements
The role calls for substantial data and technology experience, strong Azure data engineering skills, and demonstrated business analysis capability. Candidates should be able to bridge business discussions and hands-on engineering, including requirements workshops, data validation, and collaboration across technical and business teams.
Skills
- Azure Data Engineering
- Azure Data Factory
- Databricks
- PySpark
- SQL
- Data Pipelines
- ETL/ELT
- Business Analysis
- Requirements Gathering
- Data Mapping
- Data Profiling
- Data Validation
- Data Reconciliation
- User Stories
- Acceptance Criteria
- Stakeholder Collaboration
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Consulting
Keywords
- Azure
- Azure Data Factory
- Databricks
- PySpark
- SQL
- Data Engineering
- Business Analysis
- Data Pipelines
- ETL
- ELT
- Data Integration
- Requirements Workshops
- Process Analysis
- Data Analysis
- User Stories
- Acceptance Criteria
- Data Mapping
- Data Profiling
- Data Validation
- Data Reconciliation
- Business Rules
- Technical Design
- Stakeholder Collaboration
- Quality Assurance
- Defect Management
- IT Services
- Technology Consulting