Junior Data Engineer

Mindlance; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading data solutions company in Toronto seeks a Junior Data Engineer to develop and maintain scalable data pipelines and support predictive modeling and GenAI applications. The role requires a Bachelor’s degree and 1-2 years of relevant experience with skills in SQL, Python, and ETL frameworks. Strong problem-solving, communication, and teamwork abilities are essential.

Qualifications

• 1-2 years of experience in data engineering or related roles.
• Experience in working with APIs to pull data from various sources.
• Familiarity with machine learning methods.

Responsibilities

• Develop and maintain scalable data pipelines to support increasing data volume.
• Build and support data needs for predictive modeling and GenAI applications.
• Implement data quality checks and ensure data integrity.

Skills

SQL

Python

ETL frameworks

Problem-solving

Communication

Teamwork

Education

Bachelor’s degree in computer science, Engineering, or related field

Tools

Google Big Query

Azure Data Lake

Job description

Job Title: Junior Data Engineer

Location: Toronto, ON (Onsite)

Duration: 12 + Months

Daily Responsibilities

• Develop and maintain scalable data pipelines to support continuing increases in data volume and complexity
• Build and support the data needs for predictive modeling and GenAI applications
• Work with APIs to extract, transform, and load data from various sources, including both structured and unstructured data.
• Collaborate with data scientists to understand data requirements and deliver solutions.
• Implement data quality checks and ensure data integrity.
• Document processes and maintain clear and concise technical documentation

Must Have Skills

• Bachelor’s degree in computer science, Engineering, or related field
• 1-2 years of experience in data engineering or related roles
• Proficiency in data engineering languages and technologies, such as SQL, Python, and ETL frameworks.
• Experience in working with APIs to pull data from various sources.
• Familiarity with both structured (e.g., databases) and unstructured data (e.g., JSON, XML).
• Familiarity with machine learning methods.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Knowledge of data modeling and storage solutions for both structured and unstructured data
• Hands-on experience with Google Big Query or Azure Data Lake is preferred

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.