Data Engineer

Wissen Technology

Montreal

On-site

CAD 90,000 - 130,000

Full time

7 days ago
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Benefits offered by this job

Healthcare insurance for you and your4
Disability insurance (short/long-term)
Life Insurance
Paid Time Off: 3 weeks
Remote work setup stipend
Industry certifications support
Cash incentives
Re-skilling opportunities

Job summary

Wissen Technology in Montreal, QC is seeking a Data Engineer with 3–5 years of backend and data pipeline experience. The role focuses on building scalable data workflows using Java or Python and Apache Spark, with Spark expertise preferred.

You will design, develop, and optimize distributed data processing pipelines, collaborate with architects and analysts, and ensure data quality, governance, and performance in a hybrid onsite setting (3–4 days per week).

Qualifications

  • 3–5 years of experience as a Data Engineer or Backend Engineer.
  • Proficient in Java or Python with Spark experience.
  • Experience with distributed data processing and cloud platforms.
  • Strong knowledge of data modeling and data governance.

Responsibilities

  • Design and develop distributed data processing pipelines with Spark.
  • Build high-performance backend services for data ingestion and storage.
  • Optimize pipelines for performance, scalability, and cost.
  • Collaborate with data architects and analysts to deliver data solutions.
  • Implement code quality, testing, CI/CD, and version control.
  • Ensure data quality, lineage, and governance across pipelines.

Skills

Java
Python
Apache Spark
REST APIs
CI/CD
Git
Distributed systems
SQL

Education

Graduate degree in CS/Engineering

Tools

AWS
Azure
GCP
Docker
Kubernetes
Delta Lake
Hive
Kafka

Job description

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

Title: Associate/AVP

Location: Montreal, QC

Experience: 3-5 Years

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.
  • 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.

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.

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

Employee Speak:

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/here-is-what-ownership-and-commitment-mean-to-wissenites/

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

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