Company Description Rockland Tech Hub is a technology solutions provider that helps startups, growing businesses, and enterprises modernize systems and build secure, scalable digital platforms. The company delivers IT services, intelligent automation, custom software development, web and mobile applications, e-commerce solutions, software testing, branding support, and IT staffing services.

Teams combine deep technical expertise with practical business insight to create solutions that improve efficiency and performance while supporting long-term growth.

Rockland Tech

Hub offers dependable, future-ready solutions such as responsive websites, workflow automation, quality assurance, and skilled IT professionals aligned with client goals.

Role Description The Data Engineer will design, build, and maintain data pipelines that support analytics, reporting, and application needs across multiple projects. Day-to-day responsibilities include developing and optimizing ETL workflows, implementing data models, managing data warehousing solutions, and ensuring data quality, reliability, and security.

The role involves collaborating with data analysts, software engineers, and business stakeholders to understand data requirements, integrate diverse data sources, and improve performance of data platforms.

The Data

Engineer will also monitor data workflows,



troubleshoot issues, and document processes and standards. This is a full-time remote role.

Qualifications

- Candidates should possess robust skills in Data Engineering and building scalable data solutions.
- Candidates should possess practical experience in Data Modeling and designing efficient data schemas.
- Candidates should possess hands-on skills in Extract Transform Load (ETL) processes and data integration.
- Candidates should possess experience with Data Warehousing, including modern cloud-based platforms.
- Candidates should possess capabilities in Data Analytics to support reporting and insight generation.
- Proficiency with SQL and at least one programming language commonly used in data engineering (such as Python or Java).
- Experience with cloud data ecosystems (e.g., AWS, Azure, or GCP) and related data services is preferred.
- Familiarity with workflow orchestration tools (e.g., Airflow, dbt) and version control systems.
- Strong problem-solving skills, attention to detail, and ability to work effectively in a remote, collaborative environment.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Please Dm your resume to: [email protected]

📌 Data Engineer (Toronto)
🏢 Rockland Tech Hub
📍 Toronto