Job overview
- Location
- Mississauga, Ontario, Canada
- Experience
- 4+ years
- Job type
- Full-time
- Work mode
- On-site
- Salary
- CAD 72,783 – 105,007 / year
- Education
- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- Category
- IT & Technology
- Posted
- Valid through
At a glance by CareerCola
- Company
- Infosys
- Role
- Technology Analyst - Databricks Developer
- Location
- Mississauga, Ontario, Canada
- Employment type
- Full-time
- Work mode
- On-site
- Category
- IT & Technology
- Posted
- 4 Sep 2026
- Valid through
- 4 Oct 2026
- Experience
- 4+ years
- Salary
- CAD 72,783 – 105,007 / year
About the role
Infosys is seeking an Technology Analyst - Azure Databricks - Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will be responsible to interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Summary / compensation (as published by Infosys):
Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $72783 to $105007
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements
Job details (as published by Infosys):
- Job Role: Technology Analyst - CAN
- Work Location: Mississauga, Ontario, Canada
- Skills: Technology|Big Data - Data Processing|Spark
- Domain: Delivery
- Interest Group: Infosys Limited
- Company: ITL Canada
- Requisition ID: 153256BR
Responsibilities
Key Responsibilities:
- Enable digital transformation for clients in a global delivery model
- Research technologies independently and recommend appropriate solutions
- Contribute to technology-specific best practices and standards
- Interface with key stakeholders across stages of the Software Development Life Cycle
- Deliver end-to-end implementations using Azure, Databricks, Python, PySpark, and SQL
- Support large-scale cloud data migrations and data engineering workloads
Requirements
Required Qualifications:
- Candidate must be located within commuting distance of Mississauga, ON / Calgary, AB (Canada) or be willing to relocate to the area. This position may require travel in the US
- Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 4 years of Information Technology experience
- Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
- Strong knowledge and hands-on experience in SQL, Unix shell scripting
Preferred Qualifications:
- Sound knowledge of software engineering design patterns and practices
- Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
- Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL.
- Good understanding of Agile software development frameworks
- Experience in Banking/Financial domain
- Good to have experience in Snowflake
- Strong communication and Analytical skills
- Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams
- Experience and desire to work in a global delivery environment
Skills
- Azure
- Unix
- Python
- SQL
- PySpark
- Big Data
- Data Engineering
- Snowflake
- ETL
- Apache Spark
- Databricks
About Infosys
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