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Data Cleaning Jobs in Quebec (NOW HIRING)

Help design automated pipelines (Airflow) for data ingestion and cleaning. * Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support ...

Contribute to exploratory projects testing new data and machine learning approaches * Write clean, efficient, and maintainable code designed for scale * Apply modern deployment and monitoring ...

If you are a methodical, data-savvy problem solver who loves translating complex data and guiding ... Deliver Clean Cutovers: Conduct gap analyses between old and new systems to advise clients on ...

  • Medical

  • PTO

Apply Clean Architecture principles to ensure maintainable and scalable codebases * Implement and consume RESTful APIs * Work with Entity Framework (EF) for data persistence and complex data modeling

Apply Clean Architecture principles to ensure maintainable and scalable codebases * Implement and consume RESTful APIs * Work with Entity Framework (EF) for data persistence and complex data modeling

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Business Analyst I

Montreal, QC · On-site

$40 - $50/hr

Collect, clean, and validate data from multiple sources (Salesforce, Jira, Planisware, internal dashboards). * Design, develop, and maintain Power BI dashboards and reports. * Create interactive ...

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Data Cleaning information

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are popular job titles related to Data Cleaning jobs in Quebec? For Data Cleaning jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Cleaning jobs in Quebec look for? The top searched job categories for Data Cleaning jobs in Quebec are:
Infographic showing various Data Cleaning job openings in Quebec as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 83% In-person, and 17% Remote job distribution.

Software Developer - Data Infrastructure

Nexasphere

Montreal, QC

Full-time

Re-posted 27 days ago


Job description

Position Overview:

The Data Infrastructure team manages the service-oriented data storage infrastructure for the firm. We implement microservices that provide high performance solutions to access large data sets required in trading and research.

We are looking for an experienced Software Developer with a strong background in C++ to join our team. In this role, you will be responsible for designing, developing, and maintaining the data infrastructure components that support our data processing and analytics pipelines. You will work closely with data engineers, data scientists, quantitative researchers and other stakeholders to ensure efficient and reliable data retrieval, processing and storage.

  • Design, develop, and maintain data infrastructure microservices using C++ to process and analyze large data sets
  • Optimize microservices for performance and scalability, ensuring efficient data processing
  • Debug and troubleshoot software issues, providing timely resolutions
  • Stay up-to-date with industry trends and advancements in C++ programming and data engineering technologies
  • Write clean, maintainable, and efficient code, following coding best practices and standards
  • Participate in code reviews to ensure code quality and consistency
  • Collaborate with support teams to ensure smooth deployment and operation of microservices
  • Contribute to the overall software architecture and design of data processing and analytics pipelines

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related subject
  • 4+ years of professional software engineering experience
  • Proficiency in C++
  • Experience working on microservices and/or asynchronous multithreaded applications
  • Ability to work in a fast-paced, deadline-driven environment.
  • Strong problem-solving and debugging skills
  • Experience working in a Linux environment
  • Excellent communication skills, comfortable interacting directly with stakeholders
  • Willingness to pick up and learn new technologies and frameworks

Nice to have:

  • Knowledge of databases, SQL
  • Familiarity with Boost ASIO
  • Familiarity with data serialization formats such Apache Arrow/Parquet, Google Protocol Buffers, Flatbuffers
  • Experience with gRPC, http/REST and Websocket protocols
  • Experience with Google Cloud/AWS and/or containerization in Docker/Kubernetes
  • Experience with highly available distributed systems and working with large datasets
  • Experience with other programming languages such as Rust, Python and Q is a plus