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Added 1 month ago
Analytics & Process Improvement Specialist - Challenger (Cambridge)
Fastfrate Group
Cambridge, ON
Use SQL Server, SQL-based querying, ETL processes, Power BI, KNIME and related analytics tools to extract, transform, validate, analyze and present operational data.
Added 1 month ago
JI
IT - Systems Administrator
JAM Industries
Baie-D'Urfé, QC
- Full-time
Collaborate with other SysAdmins, network, security, web/application, and SQL teams.
Added 1 month ago
Manager, Fraud Investigations & Controls
Rogers Communications
Toronto, ON · Calgary, AB
Utilize investigative analytics, SQL, data querying tools, fraud platforms, and link-analysis techniques to identify relationships, anomalies, organized fraud networks, and second-order…
Added 1 month ago
IT - Systems Administrator
Jam
QC · Baie D'urfe, QC
Collaborate with other SysAdmins, network, security, web/application, and SQL teams.
Added 1 month ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
Strong hands-on experience in Databricks (notebooks, jobs, clusters, Delta Lake, SQL).
Added 1 month ago
P
Senior Technical Analyst
PeoplePilot
Montreal, QC
- $100,000 to $105,000 CAD / year
- Full-time
Strong experience with Microsoft technologies including .NET, Azure Data Factory (ADF), Azure SQL, Azure PaaS services (Web Apps, Function Apps, Key Vaults, App Services), and Azure DevOps…
Added 1 month ago
G
Développeur(euse) logiciel / Software Developer - Dynamics / Power Platform
Genetec
Montreal, QC
- Full-time
Expérience avec les bases de données SQL Server
Added 1 month ago
PH
Senior Developer / Application Architect HSPnet
Provincial Health Services Authority
Burnaby, BC
- Full-time
The Senior Developer/Application Architect (SD/AA) reports to the Director or designate and is responsible for providing leadership and direction on the support and development of HSPnet…
Added 1 month ago
Technology Lead - PySpark Developer
Infosys
ON
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…
Added 1 month ago
Technology Lead - Informatica Developer
Infosys
Canada
We are seeking an experienced Informatica Developer to design, develop, and support enterprise data integration solutions across on-premise and cloud platforms. The ideal candidate will…
Added 1 month ago
Technology Lead - Azure Databricks
Infosys
Canada
Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL.
Added 1 month ago
C
Java Playwright Automation Engineer (Retirement/Pension Domain)
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
SQL for test data setup and back-end verification.
Added 1 month ago
TR
Geochemistry & Data Assurance Co-op
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $4,833 to $6,125 CAD / month
- Full-time
Added 1 month ago
NF
Senior Business System Analyst - Vernon - 24 Month Contract
Nature's Fare Markets
Vernon, BC
- Full-time
Familiarity with SQL, PowerShell, Python, Microsoft Power Platform, and reporting tools is considered an asset.
Added 1 month ago
NF
Senior Business System Analyst - Vernon - 24 Month Contract
Nature's Fare Markets
Vernon, BC
- Full-time
Familiarity with SQL, PowerShell, Python, Microsoft Power Platform, and reporting tools is considered an asset.
Added 1 month ago
MG
Ingénieur(e) mondial(e), Automatisation et informatique industrielle / Global Engineer, Automation & Industrial IT
Medicom Group
Montreal, QC
- Full-time
Langages de programmation : maîtrise de VBA et SQL.
Added 1 month ago
BG
Data Architect
Brandt Group of Companies
Regina, SK
- Full-time
Advanced SQL & Performance Tuning: Act as the team's primary SQL authority. Proactively identify, troubleshoot, and optimize inefficient queries, fine-tune execution plans, and ensure…
Added 1 month ago
HP
ETL Data Engineer (Hybrid, Markham, Ontario)
HR POD Careers
Markham, ON
- Full-time
Advanced SQL skills, with strong experience working with complex datasets and queries.
Added 1 month ago
HP
AWS Snowflake Architect (Hybrid, Markham, Ontario)
HR POD Careers
Markham, ON
- Full-time
Strong proficiency in SQL and Python for data processing and automation.
Added 1 month ago
HP
Java Full Stack Developer (Onsite, Markham, Ontario)
HR POD Careers
Markham, ON
- Full-time
Strong knowledge of SQL and relational database systems.
Added 1 month ago
A
Manager, BI & Reporting
Apotex
Toronto, ON · North York, ON
- $95,594.4 to $133,832.16 CAD / year
Added 1 month ago
FN
QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
…Playwright, Cypress, Selenium, Postman, Python, .NET test frameworks, SQL, or comparable technologies, and keep tests reliable as products…
Added 1 month ago
B
Capital Markets Business Analyst
Bridgenext
Toronto, ON · Greater Toronto Area, Canada
- $110,000 to $125,000 CAD / year
- Full-time
Hands-on SQL and Excel skills for data profiling, mapping validation, reconciliation and root-cause analysis
Added 1 month ago
AM
Software Development Engineer (Chip Product Security)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Extensive software development experience in Java, .Net, C++, Python, SQL, UNIX/Linux.
Added 1 month ago
G
Développeur(euse) logiciel / Software Developer - Dynamics / Power Platform
Genetec
Remote, Canada
- Full-time
- Remote
Expérience avec les bases de données SQL Server

Infosys

Technology Lead - PySpark Developer

ON, Canada

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Job details

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

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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