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Added 1 hour ago
Staff / Lead Data Engineer - Bidding (Bangkok based, relocation provided)
Agoda
Toronto, ON
Full-time
Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala
Added 3 hours ago
Senior Azure Databricks Consultant
BURGEON IT SERVICES
Burnaby, BC
Contract
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Added 4 hours ago
Sr. Manager, Development
CIBC
Toronto, ON
Full-time
You can demonstrate 10-15 years experience in. Leading and driving application projects, experience with modern development methodologies and tool chains enabling Agile, Continuous…
Added 4 hours ago
New Graduate / Internship Applications
Compass Data & AI
Montreal, QC
Internship
Programming Languages: Proficiency in SQL and Python is essential; experience with PyTorch, Spark, Scala, or similar technologies is a plus.
Added 6 hours ago
Senior Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
At Shakudo, we’re building the world’s first operating system for data and AI. We use the term “operating system” in the truest sense: just like iOS, Windows, or Linux, Shakudo’s end-to-end…
Added 15 hours ago
Senior Manager, Engineering & Build
Royal Bank of Canada
Toronto, ON
Full-time
Distributed processing: Production experience with Spark (PySpark/Scala) for large-scale batch processing and optimization.
Added 20 hours ago
Spark Scala Java Developer
Apptoza Inc.
Toronto, ON
Contract
8. Experience in writing Spring boot Webservices| and SQL queries. The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 21 hours ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Full-time
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Added 21 hours ago
Senior Data Engineer (Databricks)
KTek Resourcing
Toronto, ON
Contract
Build and optimize data solutions using Databricks, PySpark, and Spark SQL.
Added 22 hours ago
Data Engineer
Compass Data & AI
Montreal, QC
Full-time
Programming Languages: Proficiency in SQL and Python is essential; experience with Scala, Spark, or other languages is a plus.
Added 23 hours ago
Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
Full-time
Data & Cloud Infrastructure: Deep knowledge of distributed data frameworks (Apache Spark, Airflow, Google Cloud Dataflow), cloud data warehouses (BigQuery/GCP, and Snowflake), SQL, and…
Added 23 hours ago
Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
Full-time
Data & Cloud Infrastructure: Deep knowledge of distributed data frameworks (Apache Spark, Airflow, Google Cloud Dataflow), cloud data warehouses (BigQuery/GCP, and Snowflake), SQL, and…
Added 1 day ago
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
Design and develop Big Data pipelines using Spark and Scala to process large volumes of raw data stored in Hive/Hadoop.
Added 1 day ago
Senior Security Data Scientist
Desjardins
Montreal, QC · Complexe Desjardins Montréal
Full-time
Proficiency of development in Apache Spark (via pyspark or scala, knowledge of Databricks)
Added 1 day ago
Lead Engineer - Azure Databricks @ Burnaby, Vancouver _ Canada - Hybrid
BURGEON IT SERVICES
Vancouver, BC
Contract
Optimize Spark jobs (partitioning, caching, broadcast joins, AQE) for performance and cost.
Added 1 day ago
Spark Scala Java Developer
Apptoza Inc.
Toronto, ON
Contract
The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 1 day 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 day ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 1 day ago
Big Data Developer
Galent
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 2 days ago
Big Data Developer
Themesoft Inc.
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 2 days ago
Big Data Engineer
Themesoft Inc.
Toronto, ON
Contract
Design and develop Spark-Scala applications for large-scale data processing on Hadoop/CDP clusters
Added 2 days 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 2 days ago
Technology Lead - AWS Data Engineer
Infosys
BC
Infosys is seeking an experienced Data Engineer with 6+ years of experience in building scalable data platforms and ETL pipelines. The ideal candidate should have strong hands-on expertise…
Added 2 days ago
Member of Technical Staff 3
Nutanix
Vancouver, BC
$132,000 to $198,000 CAD / year
Full-time
Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark.
Added 2 days ago
Member of Technical Staff 4
Nutanix
Vancouver, BC
$151,000 to $227,000 CAD / year
Full-time
Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements.

Infosys

Technology Analyst - Pyspark developer

ON, Canada

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

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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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