SnapLogic Developer

Job summary

Position: SnapLogic Developer Location: Canada – Remote Skills: Snaplogic Development , SSIS , Snowflake Job Summary We are looking for an experienced Data Engineer / SnapLogic Developer experience in designing and developing enterprise data integration solutions. The ideal candidate will have strong expertise in SnapLogic, Snowflake, and SSIS, with SnapLogic being the primary skill. The role involves building scalable ETL/ELT pipelines, integrating enterprise systems, and developing cloud-based data solutions to support business analytics and operational needs. Key Responsibilities Design…

Job details

Position: SnapLogic Developer Location: Canada – Remote Skills: Snaplogic Development , SSIS , Snowflake Job Summary We are looking for an experienced Data Engineer / SnapLogic Developer experience in designing and developing enterprise data integration solutions. The ideal candidate will have strong expertise in SnapLogic, Snowflake, and SSIS, with SnapLogic being the primary skill. The role involves building scalable ETL/ELT pipelines, integrating enterprise systems, and developing cloud-based data solutions to support business analytics and operational needs. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using SnapLogic. Build and optimize data integration workflows across multiple enterprise applications and databases. Develop and maintain data pipelines using Snowflake as the cloud data warehouse. Create, enhance, and support SSIS packages for data extraction, transformation, and loading. Implement end-to-end data integration solutions from source systems to target platforms. Optimize data pipeline performance, scalability, and reliability. Develop reusable SnapLogic pipelines, tasks, and parameterized solutions. Perform data validation, reconciliation, and troubleshooting to ensure data quality. Collaborate with business analysts, architects, and cross-functional teams to understand data integration requirements. Support production deployments, issue resolution, and ongoing maintenance. Follow coding standards, documentation, and best practices for data engineering. Required Skills Experience in Data Engineering, ETL, or Data Integration. Strong hands-on experience in SnapLogic (primary and mandatory skill). Solid experience with Snowflake data warehouse development. Strong expertise in SSIS (SQL Server Integration Services). Experience designing ETL/ELT pipelines and enterprise data integration solutions. Strong SQL programming and query optimization skills. Experience working with relational databases such as SQL Server and Oracle. Knowledge of cloud-based data platforms and modern data architecture. Experience handling structured and semi-structured data. Strong debugging and performance tuning skills. Excellent communication and collaboration skills. Regards Patrick Fernandez Talent Acquisition Group - Strategic Recruitment Manager

What you’ll do

The role involves designing, developing, and maintaining scalable ETL/ELT pipelines using SnapLogic, as well as building and optimizing data integration workflows across multiple enterprise applications. The developer will also support production deployments and ensure data quality through validation and troubleshooting.

Requirements

Candidates should have strong hands-on experience in SnapLogic, along with solid experience in Snowflake and SSIS. Strong SQL programming skills and experience with relational databases are also required.

Listed skills

• SQL · Preferred
• Validation · Preferred
• Production · Preferred
• Collaboration · Preferred
• Data Validation · Preferred
• Data analysis · Preferred
• Documentation · Preferred
• Communication · Preferred
• Pipeline · Preferred
• Development · Preferred
• issue resolution · Preferred
• Integration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snaplogic Development
• SSIS
• Snowflake
• Data Engineering
• ETL
• Data Integration
• SQL
• Debugging
• Performance Tuning
• Cloud-Based Data Platforms
• Data Quality
• Data Validation
• Data Reconciliation
• Collaboration
• Data Architecture