Jobs in Canada

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Added 1 month ago
CF
Data Solutions Designer
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 1 month ago
Senior BSA / Data Migration Specialist
Capgemini
Toronto, ON
…Salesforce and surrounding eco system including DataStage, Snowflake, Tableau and any legacy applications. The ideal candidate will have strong business-facing skills combined with hands-on…
Added 1 month ago
Technology Analyst - Pyspark developer
Infosys
ON
Infosys is seeking an experienced Spark Scala 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
P
Sales Enablement Manager - Toronto or Austin
Pigment
Toronto, ON
- Full-time
Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions…
Added 1 month ago
Technology Lead - CAN
Infosys
Canada
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 1 month ago
SA
Senior Data Engineer
Style Analytics
Toronto, ON
- Full-time
…engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable…
Added 1 month ago
C
Senior Data Engineer
Confluence
Toronto, ON
- Full-time
…engineers through mentorship and knowledge sharing. This is a developer-focused role, with a strong emphasis on solving complex data challenges through clean, maintainable…
Added 1 month ago
S
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
- Full-time
Added 1 month ago
E
Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
- Full-time
Added 1 month ago
VN
Analytics Lead
Viral Nation
Toronto, ON
- Full-time
…analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure, and BI tools such as Sigma or comparable platforms for scalable reporting and…
Added 1 month ago
SF
Data Platform Engineer II
Spring Financial
Vancouver, BC
- Full-time
…data infrastructure. You'll work across our core stack of AWS, Snowflake, dbt, and Airflow to build pipelines and platform components that are secure, observable, and aligned with business…
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
…Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake. Our Data Engineering teams regularly work across multiple technologies, and we also have Centers of Excellence…
Added 1 month ago
Senior Analyst, Revenue Strategy, Analytics & Operations
OpenTable
Canada
Candidates for this role must have experience manipulating large sets of data to discover trends and make recommendations
Added 1 month ago
C
Data and Analytics Specialist
Chartwell
Mississauga, ON
- Full-time
…troubleshooting, and supporting enterprise data solutions using Snowflake, Azure Data Factory, Azure Data Lake, SQL, Python, and Power…
Added 1 month ago
FF
Principal Data Scientist
Forward Financing
Remote, Canada
- Full-time
- Remote
Nice to have experience: cloud data warehouses (e.g. Snowflake, Databricks), Arize, Metaflow, Sagemaker, decision engines (e.g. Taktile), feature stores (e.g. Tecton)
Added 1 month ago
C
CRR Salaried
Chartwell
Mississauga, ON
- Full-time
Leverage OneStream, Snowflake and PowerBI for reporting purposes.
Added 1 month ago
D
Manager, Data Analysis Discovery & Requirements
Deloitte
Toronto, ON
- Full-time
Added 1 month ago
SS
Principal Front-Office Software Technical Trading Engineers VP (API, ETL, Java, C#), VP - Charles River Development
State Street
Toronto, ON
- Full-time
Added 1 month ago
C
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 1 month ago
C
Specialist Software Cloud Developer
CPKC
Calgary, AB
- Full-time
…diverse data sources including Oracle, SQL Server, SAP, SAP BW, Snowflake and other enterprise systems across on-premises and cloud environments. The Specialist Cloud Development position…
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 1 month ago
C
Senior Data Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Develop and optimize data transformations and orchestrations using SQL, Python, dbt, Airflow, Glue, PostgreSQL, and Snowflake.
Added 1 month ago
C
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
- $140,000 to $170,000 CAD / year
- Full-time
Our environment includes Snowflake, AWS Aurora PostgreSQL, Amazon MWAA/Apache Airflow, dbt, AWS Glue, Amazon S3, Amazon EKS, DataHub, Grafana, CloudWatch, and GitHub.
Added 1 month ago
C
Senior Product Manager, WinZip
COREL
Canada
- $130,000 to $160,000 CAD / year
- Full-time
Experience with data analytics tools like Amplitude, Google Analytics, and Snowflake.
Added 1 month ago
Data Engineer II (Restaurant AI CoPilot)
OpenTable
Toronto, ON
This hybrid role requires working in the office two days per week

Infosys

Technology Analyst - Pyspark developer

ON, Canada

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Job details

Education: Bachelor’s degree
Posting language: English
Posted: Sep 3, 2026

Original job description

Job Description

Infosys is seeking an experienced Spark Scala 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
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.

Summary:
This role requires a highly skilled Spark Scala Developer with strong expertise in big data engineering, streaming systems, and distributed computation, capable of building scalable, high-performance data platforms supporting enterprise analytics.

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

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. Collaborate with cross-functional teams to build and optimize batch and real-time data workflows within the Hadoop ecosystem.

Requirements

Requires at least 4 years of IT experience with a strong background in Big Data technologies and distributed computing. Candidates must hold a bachelor's degree or equivalent and be authorized to work in Canada without sponsorship.

Skills

Apache Spark
Scala
PySpark
Kafka
Hadoop
HDFS
Hive
Impala
NoSQL
Data Pipelines
ETL
SQL
Data Modeling
Distributed Computing
Agile
Performance Tuning

Visa sponsorship

Not detected in the job text

Keywords

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

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Work requirements

Jobs in Canada