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VLink Inc

Data Engineer

Montreal, QC, Canada

Pay: $50 to $70 CAD / hour
Job type: Contract
Apply by: Oct 21, 2026
Experience: 5–10 years of experience in data analysis, data object development, and data modeling, with strong hands-on experience in Snowflake.
Posting language: English
Posted: Sep 21, 2026

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Original job description

Title: Data Engineer

Location: Montreal, QC (Hybrid- 3days Onsite)

Duration: 12+ Months Contract

About:

VLink, founded in 2006, is a leading global provider of software engineering services with next-gen technologies and best-in-class talent. Our Headquarters are in the U.S, and we have offices in 7+ countries from North America-Europe to APAC, with expansion plans in the Middle East. With over 1,000 employees working globally, VLink has helped SMBs, and large enterprises achieve their business goals, and gained the trust of Fortune-250 companies. VLink is 'Great Place to Work® CertifiedTM' and has been a consistent winner as- Best Places to Work in CT. Trust, collaboration, and accountability are the three elements that are at the core of VLink's work culture. We value our professionals, providing comprehensive benefits and the opportunity for growth.

Data Engineer with Talend ETL and Data Warehousing:

Key Responsibilities:

Design, implement, and manage scalable data solutions in Snowflake, optimizing data storage, processing, performance, and cost.
Migrate existing data domains and data flows from relational data stores to Snowflake, including data transformation and validation.
Identify, optimize, and improve existing and new data workflows and processing pipelines.
Establish and implement data integrity, quality, and validation practices to ensure reliable data ingestion and processing.
Integrate data governance and data science tools with the Snowflake ecosystem in accordance with established practices and standards.
Support the development of data models and ETL processes to enable high-quality data ingestion into Snowflake.
Collaborate with cross-functional team members to design and implement effective data workflows, transformations, and integration processes.
Maintain and optimize Snowflake environments to improve query performance, scalability, reliability, and cost efficiency.
Contribute to proof-of-concept initiatives, technical documentation, data management standards, and Snowflake best practices.
Participate in code reviews, provide constructive feedback, and help improve the quality and maintainability of team deliverables.
Design and develop data ingestion pipelines using Talend and/or Informatica, following industry-standard ETL and data engineering practices.
Develop efficient SQL and Python scripts for large-scale dataset analysis, data processing, transformation, and scheduled end-to-end automation.
Design and implement the data distribution layer using the Snowflake REST API, supporting secure and efficient data access and integration.

SKILLS / QUALIFICATIONS:

5–10 years of experience in data analysis, data object development, and data modeling, with strong hands-on experience in Snowflake.
Required: Hands-on experience with the Snowflake REST API.
Experience building and maintaining data pipelines from legacy systems to Snowflake, supporting unstructured and semi-structured datasets.
Hands-on experience with Informatica ETL and/or Talend ETL.
Strong experience developing optimized SQL and PL/SQL queries and Python scripts for data processing and transformation.
Proven experience working with distributed systems and large-scale data environments.
Strong proficiency with relational databases, particularly DB2, including complex querying and data transformation.
Strong understanding of data modeling, schema design, relational data stores, and cloud data platforms.
Required background in Data Warehousing, including data integration, transformation, and warehouse design concepts.
Experience collaborating with data scientists’/data experts to integrate and operationalize machine learning models within Snowflake.
Familiarity with Tableau and Power BI is a plus.
Strong analytical and problem-solving skills with the ability to work effectively in a team-oriented environment.
Excellent verbal and written communication skills, with experience collaborating across IT, business, regional, and cross-functional teams.

Employment Practices:

VLink is an equal opportunity employer committed to fostering an inclusive environment where diversity is celebrated. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Employment is contingent upon successful completion of a background check.

This job application process may use AI-powered tools to assist in screening and evaluating applications based on objective, job-related qualifications. AI is used solely to support the recruitment process and all final hiring decisions are made exclusively by our human recruitment team.

Applicant information will be handled in accordance with VLink's privacy policy.

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More about this job

Responsibilities

Design, implement, and manage scalable data solutions in Snowflake while migrating existing data domains from relational stores. Develop efficient data ingestion pipelines using ETL tools and optimize workflows to ensure data integrity and performance.

Requirements

Requires 5-10 years of experience in data analysis and modeling with strong hands-on expertise in Snowflake and ETL tools like Talend or Informatica. Candidates must possess proficiency in SQL, Python, and experience working with large-scale distributed data environments.

Skills

Snowflake
Talend
Informatica
SQL
Python
Data Warehousing
ETL
Data Modeling
Data Pipelines
REST API
DB2
Data Governance
Data Integration
Cloud Data Platforms
Tableau
Power BI

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Snowflake
Talend
Informatica
ETL
Data Warehousing
SQL
Python
Data Modeling
REST API
DB2
Data Pipelines
Cloud Data Platforms
Tableau
Power BI
Data Governance
Data Integration
Machine Learning
Automation
Data Transformation
Relational Databases
Distributed Systems
Data Ingestion
Performance Optimization
Software Engineering

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