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Core Java Developer with Apache Spark & Python Experience / Montreal, QC (Hybrid) - FTE
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Job Title: Core Java Developer – Apache Spark & Python
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AceStack LLC

Core Java Developer with Apache Spark & Python Experience / Montreal, QC (Hybrid) - FTE

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 18, 2026
Posting language: English
Posted: Sep 18, 2026

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Original job description

Job Title: Core Java Developer – Apache Spark & Python

Location: Montreal, QC

Work Model: Hybrid

Job Overview

We are seeking a Senior Java Developer with 7–12+ years of experience, with strong Core Java and backend development, Must have 3+ years of Apache Spark and Python, strong SQL/Linux skills, and experience building distributed data-processing/analytical applications.

Key Responsibilities

Design, develop, test, and maintain scalable server-side applications using Core Java and Python.
Develop and optimize large-scale data processing applications using Apache Spark.
Design and implement data processing solutions for high-volume and complex datasets.
Write, optimize, and troubleshoot complex SQL queries and database solutions.
Integrate analytical platforms and data processing systems with enterprise applications.
Develop and integrate RESTful APIs and microservices.
Apply strong knowledge of data structures, algorithms, object-oriented programming, and multithreading.
Troubleshoot application, data processing, and system performance issues.
Work extensively in Linux/Unix environments for application deployment, monitoring, troubleshooting, and production support.
Participate in application architecture, technical design, and code reviews.
Collaborate with business analysts, architects, data engineers, QA teams, and other stakeholders.
Follow coding standards, security practices, design principles, and software development best practices.
Support CI/CD pipelines, application releases, and overall application lifecycle management.
Contribute to improving application scalability, reliability, performance, and maintainability.

Required Skills & Qualifications

Strong hands-on experience in Core Java development.
Proven experience working with Apache Spark for distributed data processing.
Strong development experience with Python.
Strong proficiency in SQL and relational databases.
Solid working knowledge of Linux/Unix environments.
Experience developing server-side applications and microservices.
Experience designing and integrating analytical and data processing systems.
Strong understanding of:
Data Structures & Algorithms
Object-Oriented Design
Multithreading & Concurrency
Exception Handling
Performance Optimization
Hands-on experience developing and integrating RESTful APIs.
Strong debugging, troubleshooting, and problem-solving skills.
Experience working with large-scale data and high-performance applications.

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of the Hadoop ecosystem and related big-data technologies.
Experience with Docker and Kubernetes.
Familiarity with CI/CD and DevOps practices.
Experience working in Agile/Scrum development environments.
Experience in Financial Services or Capital Markets is a plus.

Key Competencies

Strong analytical and problem-solving abilities.
Ability to design and develop scalable, high-performance solutions.
Strong communication and collaboration skills.
Ability to work independently and effectively with cross-functional teams.
Strong focus on code quality, performance, reliability, and maintainability.
Ability to troubleshoot complex production and application issues.

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More about this job

Responsibilities

Design, develop, and maintain scalable server-side applications and large-scale data processing solutions using Core Java, Python, and Apache Spark. Collaborate with cross-functional teams to integrate analytical platforms while ensuring high performance, reliability, and adherence to coding standards.

Requirements

Requires 7–12+ years of experience in Core Java development with at least 3 years of hands-on experience in Apache Spark and Python. Candidates must possess strong SQL, Linux/Unix, and distributed systems knowledge, along with experience in microservices and API integration.

Skills

Core Java
Apache Spark
Python
SQL
Linux
Unix
Distributed data-processing
RESTful APIs
Microservices
Data structures
Algorithms
Multithreading
Object-oriented programming
CI/CD
Database solutions
Performance optimization

Visa sponsorship

Not detected in the job text

Keywords

Core Java
Apache Spark
Python
SQL
Linux
Unix
Distributed Systems
Data Processing
RESTful APIs
Microservices
Multithreading
CI/CD
Data Structures
Algorithms
Object-Oriented Design
AWS
Azure
GCP
Hadoop
Docker
Kubernetes
Agile
Scrum
Financial Services
Capital Markets
Backend Development
Performance Optimization
Production Support
Software Development
Data Engineering

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