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Added 6 mins ago
AI Engineer, Data, AI and Analytics
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…technologies to speed the development and support of a wide variety of systems and technology stacks. They are comfortable delivering solutions ranging from lightweight business tools and…
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Nuclear Project Scheduler
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- $75 to $85 CAD / hour
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Added 36 mins ago
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Forward Deployed Engineer (Python/Pyspark Developer)
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
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Business Developer Manager
Siemens
Montreal, QC
- Full-time

Wissen Technology

Python & Database Engineer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

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: Python & Database Engineer

Title: Associate/AVP

Location: Montreal, QC (Day 1 Onsite/Hybrid) – Fulltime

Mode of Work: 3 days/week onsite required

Work type - Fulltime & C2H(6 Months)

Required Experience: 3-5 years

Role Overview

We are seeking a Python & Database Engineer with 3–5 years of experience in developing scalable applications, building data pipelines, and optimizing database solutions. The ideal candidate will possess strong expertise in Python, SQL, and Apache Spark (PySpark), along with hands-on experience in developing ETL workflows, processing large-scale datasets, and delivering high-performance data solutions in a fast-paced engineering environment.

Key Responsibilities

Develop, enhance, and maintain Python-based applications, automation tools, and backend services.
Design, develop, and optimize database schemas, SQL queries, stored procedures, and data models.
Build and maintain scalable python/scala pipelines using spark and custom inhouse data processing frameworks.
Process and transform large datasets from multiple sources while ensuring data quality and integrity.
Collaborate with product, engineering, and data teams to translate business requirements into technical solutions.
Develop and maintain API integrations and data ingestion frameworks.
Optimize Spark jobs and database performance through tuning, partitioning, indexing, and query optimization techniques.
Monitor, troubleshoot, and resolve issues related to Python applications, Spark workloads, and database systems.
Implement unit testing, code reviews, and best practices to ensure high-quality and maintainable code.
Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
Maintain technical documentation for applications, data pipelines, database structures, and workflows.

Required Skills & Experience

3–5 years of hands-on experience in Python development.
Strong proficiency in Python, including experience with frameworks such as Flask, Django, or FastAPI.
Hands-on experience with Apache Spark / PySpark for large-scale data processing and transformation.
Strong knowledge of SQL and relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
Experience developing and optimizing ETL/ELT pipelines using Spark and Python.
Expertise in writing complex SQL queries, stored procedures, triggers, and database functions.
Experience working with large datasets and distributed data processing environments.
Strong understanding of RESTful APIs and integration patterns.
Experience with version control tools such as Git/GitHub.
Data modelling experience.
Exposure to cloud platforms such as AWS, Azure, or GCP.
Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

Experience with Spark ecosystem components such as Spark SQL, DataFrames, and Spark Streaming.
Experience with Docker, Kubernetes, and microservices architecture.
Understanding of CI/CD pipelines and DevOps practices.
Experience with data visualization and reporting tools such as Power BI or Tableau.

Nice-to-Have

Experience in building data lakes and modern data engineering solutions.
Knowledge of data governance, security, and performance optimization best practices.
Exposure to machine learning data pipelines and model integration workflows.
Experience working in enterprise-scale data platforms and cloud-native environments.

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.

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More about this job

Responsibilities

Develop and maintain Python applications, APIs, database solutions, and scalable Spark-based data pipelines, including ETL workflows that process large datasets. Optimize application, Spark, and database performance; ensure data quality and code quality; troubleshoot issues; collaborate with cross-functional teams; and maintain technical documentation.

Requirements

Requires 3–5 years of Python development experience, strong SQL and relational database skills, and hands-on experience with Apache Spark/PySpark and ETL/ELT pipelines. Candidates should also have experience with RESTful APIs, data modeling, version control, and large-scale data processing; cloud platform exposure and strong analytical and troubleshooting skills are expected.

Skills

Python
SQL
Apache Spark
PySpark
ETL/ELT Pipelines
Relational Databases
Database Optimization
Data Modeling
RESTful APIs
Flask
Django
FastAPI
Git
Cloud Platforms
Docker
Kubernetes

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Apache Spark
PySpark
Scala
Flask
Django
FastAPI
PostgreSQL
MySQL
Oracle
SQL Server
ETL
ELT
Data Pipelines
Data Modeling
RESTful APIs
Git
GitHub
AWS
Azure
Google Cloud Platform
Spark SQL
Spark DataFrames
Spark Streaming
Docker
Kubernetes
Microservices
CI/CD
Agile/Scrum

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