Job DescriptionInfosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time data pipelines leveraging the Hadoop ecosystem and distributed computing frameworks(Spark). The role involves working closely with data engineers, architects, and business stakeholders to deliver robust, scalable, and efficient data processing systems.
Required Qualifications:- 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.
- Candidate must be located within commuting distance of Mississauga, ON or Calgary, AB or be willing to relocate to the areas.
- 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 7 years of Information Technology experience
- At least 7 years of experience in AWS Python technologies.
- Strong expertise in:
- Hands-on experience with:
- Data Ingestion pipelines
- Shell scripting
- Snowflake , oracle , SQL Server)
- Strong understanding of distributed computing concepts and data processing frameworks.
- Experience in building ETL/data pipelines for large-scale datasets.
- Proficiency in SQL and data modeling.
Preferred Qualifications:- Hands-on experience with data lakes, data warehouses, and scalable ETL pipeline design, including batch and real-time processing architecture.
- Strong understanding and practical exposure to Agile software development methodologies (Scrum) and SDLC practices.
- Proven experience in Banking domain, supporting use cases such as fraud detection, risk analytics, regulatory reporting, and customer insights.
- Excellent analytical, problem-solving, and communication skills, with the ability to translate business requirements into scalable technical solutions.
- Demonstrated ability to work effectively in cross-functional, multi-stakeholder environments, collaborating with Business, Data Engineering, and Architecture teams.
- Experience with real-time data streaming frameworks such as Kafka and Spark Streaming for low-latency processing.
- Understanding data modeling concepts (dimensional modeling, snowflake schemas) to support analytics workloads.
- Experience and desire to work in a global delivery environment.
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. Extensive travel may be required as per client and project needs.Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 92740 to $ 123375
Additional Required QualificationsA knack of designing and developing scalable, high-quality and optimized solutions that meet complex business needs. The ability to evaluate and adopt emerging technologies, translating them into practical prototypes and deployment-ready strategies. The ability to build reusable frameworks, automation scripts, and knowledge assets that enhance team productivity. Strong problem solving mindset to debug complex technical issues and deliver error-free and reliable outcomes. Commitment to quality, performance and risk management, ensuring resilient and efficient project delivery. Proactive collaboration with internal team and client to drive knowledge sharing, continuous improvement and innovation.
Required Skill and Experience
Data Transformation: DBT (Data Build Tool
Python , Spark Azure, AWS, Snowflake
Experience in developing and applying generative AI models.
Proficiency in programming languages like Python
Stay up to date on the latest advancements in generative AI research and actively contribute to the continuous improvement of our AI capabilities.
