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Added 10 days ago
Strategic Pricing Analyst, New Grad Opportunity, (12 months contract)
Siemens
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Proficiency in Microsoft Excel and Python (or similar coding experience), with the ability to organize data and communicate findings effectively.
Added 10 days ago
I
Technology Lead - DBT PySpark Developer
Infosys
Mississauga, ON
- $92,740 to $123,375 CAD / year
- Full-time
Infosys 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…
Added 10 days ago
TC
Azure Data Engineer
Tata Consultancy Services
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- $100,000 to $120,000 CAD / year
- Full-time
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Added 10 days ago
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Added 10 days ago
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Technology Lead - DBT PySpark Developer
Infosys
Calgary, AB
- Full-time
Infosys 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…
Added 10 days ago
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- Full-time
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Mississauga, ON
- Full-time
Work with relational databases such as Oracle and SQL/PLSQL.
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Data Engineer - (Pyspark & Python)
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- Contract
Core Technical Skills: Strong proficiency in Python and hands-on expertise with PySpark (Spark SQL, DataFrames, RDDs).
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- Full-time
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- $23 CAD / hour
- Internship
As an AI Engineer Co-op at Symplistic.ai, you will work directly with our engineering team to design, develop, test, and deploy enterprise AI applications and AI agents.
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- Full-time
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Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
Added 10 days ago
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Senior Software Engineer - Java
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Infosys

Technology Lead - DBT PySpark Developer

Mississauga, ON, Canada

$92,740 to $123,375 CAD / year · Full-time

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Job details

Pay: $92,740 to $123,375 CAD / year
Job type: Full-time
Apply by: Nov 21, 2026
Education: Bachelor’s degree
Posting language: English
Posted: Oct 22, 2026

Original job description

Infosys 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 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:
DBT , Python
AWS
PySpark
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

What Visa status are we accepting for this req? :

Unable to Sponsor now or in the future

Additional Required Qualifications :

A 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.

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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More about this job

Responsibilities

Design, develop, and optimize scalable data solutions, including high-performance batch and real-time pipelines using DBT, Python, PySpark, and distributed computing frameworks. Collaborate with data engineering, architecture, business, and client teams to deliver reliable data processing systems and reusable frameworks.

Requirements

Requires at least seven years of IT experience, including seven years working with AWS and Python technologies, along with strong DBT, Python, and PySpark expertise. A bachelor's degree or foreign equivalent is required, with progressive relevant experience accepted in lieu of education; experience with large-scale ETL, SQL, data modeling, and generative AI is also sought.

Skills

DBT
Python
AWS
PySpark
Apache Spark
Data Ingestion Pipelines
Shell Scripting
Snowflake
Oracle
SQL Server
SQL
ETL
Data Modeling
Kafka
Spark Streaming
Generative AI

Visa sponsorship

Not detected in the job text

Keywords

DBT
Python
AWS
Azure
PySpark
Apache Spark
Hadoop
Distributed Computing
Data Ingestion
ETL
Data Pipelines
Batch Processing
Real-Time Processing
Snowflake
Oracle
SQL Server
SQL
Data Modeling
Data Lakes
Data Warehouses
Kafka
Spark Streaming
Generative AI
Agile
Scrum
SDLC
Banking
Fraud Detection
Risk Analytics
Regulatory Reporting

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