Senior Software Engineer – Core Java, Apache Spark, Python, SQL, Data Processing

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!

Montreal

On-site

CAD 110,000 - 150,000

Full time

2 days ago
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Job summary

Astra-North Infoteck Inc. in Montréal seeks a Senior Software Engineer to design, develop, and support scalable server-side applications and analytical data processing systems using Core Java, Spark, Python, and SQL.

You will build high-performance data solutions, optimize databases, and collaborate with cross-functional teams to deliver robust, secure software in a Linux environment. Experience with distributed data processing and modern DevOps practices is a plus.

Qualifications

  • Senior years of hands-on software development and analytical system integration.
  • Strong Core Java experience with Spark for distributed data processing.
  • Proficient in Python, SQL, and Linux-based environments.
  • Experience with RESTful APIs and scalable, data-driven architectures.

Responsibilities

  • Design, develop, test, and maintain high-performance server-side apps using Core Java and Python.
  • Build and optimize large-scale data processing solutions with Apache Spark.
  • Develop and maintain database solutions, write complex SQL queries, and optimize performance.
  • Integrate analytical systems to process large volumes of structured and unstructured data.
  • Collaborate with cross-functional teams to deliver robust solutions.
  • Troubleshoot, debug, and resolve performance issues in applications and systems.
  • Work in Linux environments for deployment, monitoring, and support activities.
  • Participate in architecture discussions and contribute to design decisions.
  • Ensure coding standards, security guidelines, and SDLC best practices.

Skills

Core Java
Apache Spark
Python
SQL
Linux
RESTful APIs
Multithreading
Data processing

Tools

Docker
Kubernetes
Hadoop ecosystem

Job description

Senior Software Engineer – Core Java, Apache Spark, Python, Big Data, SQL

Job Description – Core Java, Apache Spark, Python

We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable server-side applications and analytical data processing systems. The ideal candidate will have hands‑on experience in building high-performance applications, integrating analytical platforms, and working with large-scale data processing frameworks.

Key Responsibilities
  • Design, develop, test, and maintain high-performance, scalable server-side applications using Core Java and Python
  • Build and optimize large-scale data processing solutions using Apache Spark
  • Develop and maintain database solutions, write complex SQL queries, and optimize database performance
  • Design and integrate analytical systems to process and analyze large volumes of structured and unstructured data
  • Collaborate with cross-functional teams including business analysts, architects, data engineers, and QA teams to deliver robust solutions
  • Troubleshoot, debug, and resolve application and system performance issues
  • Work in Linux environments for application deployment, monitoring, and support activities
  • Participate in application architecture discussions and contribute to technical design decisions
  • Ensure adherence to coding standards, security guidelines, and software development best practices
  • Support CI/CD processes and application lifecycle management
Required Skills & Qualifications
  • Senior years of hands‑on experience in software development and analytical system integration
  • Strong programming expertise in Core Java
  • Hands‑on experience with Apache Spark for distributed data processing
  • Strong development experience in Python
  • Proficiency in SQL and relational databases
  • Strong working knowledge of Linux/Unix operating systems
  • Experience in application/server-side development and microservices-based architectures
  • Experience designing, building, and integrating analytical and data processing systems
  • Strong understanding of data structures, algorithms, object-oriented design principles, and multithreading
  • Experience with RESTful APIs and system integration
  • Excellent problem‑solving and debugging skills
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Knowledge of Hadoop ecosystem technologies
  • Experience with containerization technologies such as Docker and Kubernetes
  • Familiarity with CI/CD tools and DevOps practices
  • Experience working in Agile/Scrum environments
Key Competencies
  • Strong analytical and problem-solving skills
  • Ability to work independently and collaboratively in a fast-paced environment
  • Excellent communication and stakeholder management skills
  • Commitment to delivering high-quality, scalable, and maintainable solutions
  • Nice to Have: Financial Services / Capital Markets domain experience
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