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Added 4 mins ago
Senior Software Engineer, PAM
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch,…
Added 4 mins ago
Project Manager (Water / Wastewater Construction)
Maple Reinders
Burnaby, BC
$100,000 to $125,000 CAD / year
Full-time
Attend/Lead and prepare for project start up, progress and close out meetings.
Added 6 mins ago
Infrastructure DBA
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Join Sun Life's Data Management Services team as a SQL Server Infrastructure Database Administrator and lead the charge in modernizing our database infrastructure. You'll work across…
Added 6 mins ago
DevOps Developer (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
…markets and shape the future of our communities. This is a Lead Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining…
Added 6 mins ago
Senior Software Engineer, PAM
Okta
Toronto, ON
Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch,…
Added 6 mins ago
Project Manager (Water / Wastewater Construction)
Maple Reinders
Remote, Canada
Full-time · Remote
Attend/Lead and prepare for project start up, progress and close out meetings.
Added 6 mins ago
Quality Inspector / Coordinator
EBC Inc.
Toronto, ON · North York (York Mills West), Ontario
concerns to the Senior Coordinator or Quality Lead.
Added 20 mins ago
Principal Consultant, Adversarial Resilience and Cyber Defence
Google
AB
Lead multi-disciplinary engagements across cyber defence, security engineering, detection and response, and offensive security for Canadian national security and defence clients.
Added 20 mins ago
Technical Recruiter, AI & Robotics
Mecka
Remote, Canada
$115,000 to $130,000 CAD / year
Full-time · Remote
Lead full-cycle recruiting across engineering, ML, computer vision, robotics and other specialized technical roles
Added 20 mins ago
Senior Account Executive, Mid-Enterprise (Central)
Docker
Remote, Canada
Full-time · Remote
2+ year(s) of sales experience selling to mid market and/or enterprise customers; preference for selling technical products to developer and engineering personas
Added 35 mins ago
Enterprise AI Platform Lead
Tundra Technical Solutions
Toronto, ON
$100 to $128 CAD / hour
Contract
The AI Platform Lead is responsible for the strategy, architecture, governance, engineering, and operational management of the enterprise AI platform. This role enables the safe, scalable,…
Added 35 mins ago
UX Architect_Onsite@Calgary,CA
BURGEON IT SERVICES
Calgary, AB
Contract
We are seeking an experienced UX Architect to lead the design vision and user experience strategy for a large-scale digital transformation initiative within the logistics and transportation…
Added 35 mins ago
Senior Manager, Organic Growth
Mistplay
Toronto, ON
$120,000 to $165,000 CAD / year
Full-time
…problems that do not yet have an obvious playbook. You will lead an internal team and external agency partners while working closely with performance marketing/UA, product, brand, and…
Added 35 mins ago
Senior Underground Mining Engineer
DRA Global
Toronto, ON
Full-time
Reporting to DRA’s SVP Mining and Geology in Montreal, you will lead and provide technical assistance in mining engineering for greenfield and brownfield mining projects and operation in…
Added 36 mins ago
Principal, Energy and Carbon Solutions
WF Group Inc.
Kitchener, ON
Lead client delivery across an assigned portfolio of Energy and Carbon Solutions projects, ensuring client expectations, project objectives, scope, schedule, budget, quality, technical…
Added 51 mins ago
Principal Product Manager, Platform Strategy & Infrastructure (Auth0)
Okta
Toronto, ON
Lead Cross-Organizational Alignment: Serve as the strategic bridge between Engineering, Architecture, Security, and Go-To-Market leadership. Influence without authority across multiple…
Added 1 hour ago
Principal Product Manager, Platform Strategy & Infrastructure (Auth0)
Okta
Toronto, ON
$173,000 to $237,000 CAD / year
Full-time
Lead Cross-Organizational Alignment: Serve as the strategic bridge between Engineering, Architecture, Security, and Go-To-Market leadership. Influence without authority across multiple…
Added 1 hour ago
Project Manager (Construction)
Tridel
Toronto, ON · Greater Toronto Area, Canada
Full-time
Lead the entire project in accordance with the design specifications, project plans, quality objectives and schedules (Design Guide, Tridel Way)
Added 1 hour ago
Cybersecurity Controls Testing Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
Full-time
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 hour ago
Artificial Intelligence Engineer
Insight Global
Toronto, ON
$120,000 to $140,000 CAD / year
Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 1 hour ago
Senior Manager, Organic Growth
Mistplay
Montreal, QC
$120,000 to $165,000 CAD / year
Full-time
…problems that do not yet have an obvious playbook. You will lead an internal team and external agency partners while working closely with performance marketing/UA, product, brand, and…
Added 1 hour ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
- Experience as a mentor, tech lead or leading an engineering team
Added 1 hour ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
- Experience as a mentor, tech lead or leading an engineering team
Added 1 hour ago
Engineering Manager, Notification Platform
DoorDash Canada
Toronto, ON
We’re looking for an Engineering Manager to lead the Notification Platform team. This is a highly cross-functional, systems-driven role at the intersection of marketplace communications,…
Added 1 hour ago
Construction Manager - Formwork
EllisDon
AB · Edmonton, AB
Full-time
Provide direction to planning, scheduling, and engineering functions as required

Infosys

Technology Lead - PySpark Developer

ON, Canada

Education: Bachelor’s degree
Posting language: English
Posted: Aug 24, 2026

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Original job description

Job Description

Infosys is seeking an experienced 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, Ontario 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 4 years of Information Technology experience
At least 4 years of experience in Big Data technologies.
Strong expertise in:
- Apache Spark (Core, SQL, DataFrames, RDDs)
- Scala programming
- PySpark
Hands-on experience with:
- Kafka (real-time streaming)
- Hadoop ecosystem (HDFS, Hive, Impala)
- NoSQL Databases (HBase, MongoDB, Couchbase)
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.

Key Responsibilities:

Design and develop large-scale data processing pipelines using Apache Spark (Scala & PySpark)
Build and optimize batch and real-time data processing workflows using Spark, Kafka, and Hadoop ecosystem
Develop Spark applications using RDDs, DataFrames, and Spark SQL for complex transformations
Develop and optimize PySpark applications leveraging joins, Spark DAG execution flow, stage optimization, transformation techniques, and streaming with dynamic allocation and failover handling.
Implement streaming pipelines using Kafka and Spark Streaming / Structured Streaming
Develop and maintain HDFS, Hive, NoSql and Impala-based data lake solutions
Convert existing SQL/Hive workloads into optimized Spark jobs for improved performance
Work with ETL pipelines to ingest, cleanse, transform, and process large datasets
Optimize performance through partitioning, caching, serialization, and tuning techniques
Handle data formats such as Parquet, ORC, Avro, JSON
Integrate multiple data sources including streaming systems, flat files RDBMS, and APIs
Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions
Ensure data quality, reliability, and performance monitoring across pipelines
Participate in code reviews, design discussions, and best practices implementation

Key Skills:

Distributed Data Processing.
Spark Optimization & Performance Tuning.
Real-time Data Streaming.
Data Modeling & ETL Design.
Problem-solving and Analytical Thinking.
Strong Communication & Stakeholder Management.

Nice to Have:

Exposure to Machine Learning pipelines or MLOps workflows.
Experience with Databricks platform.
Experience with AWS/GCP.

Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 92740 to $ 123375

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

EEO/About Us

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 and develop large-scale data processing pipelines using Apache Spark, Scala, and PySpark. Optimize batch and real-time data workflows while collaborating with cross-functional teams to deliver scalable technical solutions.

Requirements

Requires at least 4 years of experience in Information Technology and Big Data technologies. Candidates must hold a bachelor's degree or equivalent and be authorized to work in Canada without visa sponsorship.

Skills

PySpark
Apache Spark
Scala
Big Data
Hadoop
Kafka
Data Pipelines
ETL
SQL
Data Modeling
Distributed Computing
Hive
NoSQL
Performance Tuning
Data Engineering
Streaming

Visa sponsorship

Not detected in the job text

Keywords

PySpark
Apache Spark
Scala
Big Data
Hadoop
Kafka
HDFS
Hive
Impala
NoSQL
HBase
MongoDB
Couchbase
ETL
Data Pipelines
SQL
Data Modeling
Distributed Computing
Agile
Scrum
SDLC
Data Lake
Data Warehouse
Streaming
Parquet
Avro
ORC
JSON
Performance Tuning
Databricks

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