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Data Engineer

  • Montreal, QC, Canada

Full-time

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Job type
Full-time
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Posting language
English
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Original job description

About the job

The Wissen team continues to expand its footprint in the USA, Canada, UK, Australia, and India. More openings to come as we continue to grow the team!

Please read below for a brilliant career opportunity.

Role: Data Engineer

Title: Associate/AVP

Location: Montreal, QC

Experience: 3-5 Years

Work type - Fulltime & C2H(6 Months)

Mode of Work: Onsite 3-4 days per week

We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a Java or Python backend background and has worked extensively with Apache Spark. Experience with Scala is a plus but not mandatory.

This role involves designing, developing, and optimizing data processing workflows, ensuring reliability, performance, and maintainability across distributed systems.

Key Responsibilities

  • Design and develop distributed data processing pipelines using Apache Spark.
  • Build and maintain high‑performance backend services for data ingestion, transformation, and storage.
  • Work with large‑scale datasets and optimize jobs for performance, scalability, and cost efficiency.
  • Collaborate with data architects, analysts, and platform teams to deliver robust data solutions.
  • Implement best practices for code quality, testing, CI/CD, and version control.
  • Troubleshoot production issues and improve system reliability.
  • Contribute to the design of data models, schemas, and storage strategies.
  • Ensure data quality, lineage, and governance across pipelines.

Required Skills & Experience

  • 3–5 years of experience as a Data Engineer or Backend Engineer.
  • Strong programming skills in Java or Python (Scala optional).
  • Hands‑on experience with Apache Spark (batch or streaming).
  • Solid understanding of backend concepts:
  • Multithreading & concurrency
  • REST APIs / microservices
  • Data structures & algorithms
  • Performance optimization
  • Experience with distributed systems and cloud‑based data platforms (AWS, Azure, or GCP).
  • Familiarity with SQL and relational databases.
  • Experience with version control (Git) and CI/CD pipelines.

Good to Have

  • Experience with Scala for Spark development.
  • Knowledge of Delta Lake, Iceberg, or Hive.
  • Exposure to Kafka, event streaming, or real‑time data pipelines.
  • Experience with containerization (Docker, Kubernetes).
  • Understanding of data warehousing concepts.

Benefits:

  • Healthcare insurance for you and your family (medical, dental, vision).
  • Short / Long term disability insurance.
  • Life Insurance.
  • Accidental death & disability Insurance.
  • 3 weeks of Paid Time Off.
  • Support and fee coverage for immigration needs.
  • Remote office set up stipend.
  • Support for industry certifications.
  • Additional cash incentives.
  • Re-skilling opportunities to transition between technologies.

Schedule: Monday to Friday

Work Mode: Hybrid

Job Type: Full-time

We are: A high end technical consulting firm built and run by highly qualified technologists. Our workforce consists of 5000+ highly skilled professionals, with leadership from Wharton, MIT, IITs, IIMs, and NITs and decades of experience at Goldman Sachs, Morgan Stanley, MSCI, Deutsche Bank, Credit Suisse, Verizon, British Telecom, ISRO etc. Without any external funding or investments, Wissen Technology has grown its revenues by 100% every other year since it started as a subsidiary of Wissen Group in 2015. We have a global presence with offices in the US, India, UK, Australia, Mexico, and Canada.

You are: A true tech or domain ninja. Or both. Comfortable working in a quickly growing profitable startup, have a “can do” attitude and are willing to take on any task thrown your way.

You will:

  • Develop and promote the company’s culture of engineering excellence.
  • Define, develop and deliver solutions at a top tier investment bank or another esteemed client.
  • Perform other duties as needed

Your Education and Experience:

  • We value candidates who can execute on our vision and help us build an industry-leading organization.
  • Graduate-level degree in computer science, engineering, or related technical field
  • Wissen embraces diversity and is an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, skills, and abilities. We believe that the more inclusive our team is, the better our work will be. All qualified applicants, including but not limited to LGBTQ+, Minorities, Females, the Disabled, and Veterans, are encouraged to apply.

About Wissen Technology:

The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for diverse industries, including Banking, E-commerce, Telecom, Healthcare, Manufacturing, and Energy. We help clients build world-class products. We have offices in the US, India (Bangalore, Hyderabad, Chennai, Gurugram, Mumbai, Pune), UK, Australia, Mexico, Vietnam, and Canada.

We empower businesses with a dynamic portfolio of services and accelerators tailored to today’s digital demands and based on future ready technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process Automation, Multi-Cloud & Hybrid Cloud Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge integrations.

Certified as a Great Place to Work® for five consecutive years (2020-2025) and recognized as a Top 20 AI/ML vendor by CIO Insider, Wissen Group has delivered multimillion-dollar projects for over 20 Fortune 500 companies. Wissen Technology delivers exceptional value on mission-critical projects through thought leadership, ownership, and reliable, high-quality, on-time delivery.

Our industry-leading technical expertise stem from the talented professionals we attract. Committed to fostering their growth and providing top-tier career opportunities, Wissen ensures an outstanding experience and value for our clients and employees.

We Value:

  • Perfection: Pursuit of excellence through continuous improvement.
  • Curiosity: Fostering continuous learning and exploration.
  • Respect: Valuing diversity and mutual respect.
  • Integrity: Commitment to ethical conduct and transparency.
  • Transparency: Open communication and trust.

Website: www.wissen.com

Glassdoor Reviews: https://www.glassdoor.com/Reviews/Wissen-Reviews-E2587444.htm

Wissen Thought leadership: https://www.wissen.com/articles/

Latest in Wissen in CIO Insider:

https://www.cioinsiderindia.com/vendor/wissen-technology-setting-new-benchmarks-in-technology-consulting-cid-1064.html

Employee Speak:

https://www.ambitionbox.com/overview/wissen-technology-overview

LinkedIn: https://www.linkedin.com/company/wissen-technology

About Wissen Interview Process:

https://www.wissen.com/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/

Wissen: A Great Place to Work

https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-r-institute-india

https://www.wissen.com/blog/here-is-what-ownership-and-commitment-mean-to-wissenites/

Wissen | Driving Digital Transformation

A technology consultancy that drives digital innovation by connecting strategy and execution, helping global clients to strengthen their core technology.

More about this job

Responsibilities

Design, build, and optimize scalable Apache Spark data pipelines and backend services for data ingestion, transformation, and storage. Collaborate with data and platform teams to improve performance, reliability, data quality, governance, and maintainability across distributed systems.

Requirements

Requires 3–5 years of data or backend engineering experience, strong Java or Python skills, and hands-on Apache Spark experience. Candidates should understand backend engineering, distributed systems, cloud data platforms, SQL, Git, and CI/CD; a graduate-level degree in a technical field is also specified.

Skills

  • Java
  • Python
  • Apache Spark
  • Scala
  • Distributed Systems
  • Data Pipelines
  • Backend Engineering
  • Multithreading
  • Concurrency
  • REST APIs
  • Microservices
  • Performance Optimization
  • Cloud Platforms
  • SQL
  • Git
  • CI/CD

Benefits

  • Healthcare Insurance
  • Short- and Long-Term Disability Insurance
  • Life Insurance
  • Accidental Death and Disability Insurance
  • Paid Time Off
  • Immigration Support
  • Remote Office Setup Stipend
  • Cash Incentives
  • Reskilling Opportunities

Visa sponsorship

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Categories

  • Technology
  • Data & Analytics
  • Software
  • Consulting

Keywords

  • Data Engineering
  • Backend Engineering
  • Apache Spark
  • Java
  • Python
  • Scala
  • Distributed Data Processing
  • Data Pipelines
  • Batch Processing
  • Stream Processing
  • Data Ingestion
  • Data Transformation
  • Data Storage
  • Distributed Systems
  • AWS
  • Azure
  • Google Cloud Platform
  • SQL
  • Relational Databases
  • Git
  • CI/CD
  • Delta Lake
  • Apache Iceberg
  • Apache Hive
  • Apache Kafka
  • Docker
  • Kubernetes
  • Data Warehousing
  • Data Quality
  • Data Governance

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