Project X Ltd.

www.pxltd.ca

1 Job

57 Employees

About the Company

Project X Ltd. is a boutique advisory, systems integration and support firm focusing on data & analytics and business consulting. By focusing on our clients' objectives and best interests we are able to work collaboratively to drive Business Value through Rapid Results. Our team of experienced professionals works along side our customers using an integrated delivery model which allows us to tailor our approach to the individual needs of an engagement. From strategy through execution to delivery we work with our clients to achieve results in a quick and cost effective manner.

Listed Jobs

Company Name: Project X Ltd.
Job Title: Data Engineer (Future Hire)
Job Description: **Job Title:** Data Engineer **Role Summary:** Design, develop, and maintain scalable, high‑quality data pipelines using Python and modern ETL/orchestration tools. Collaborate with data architects and analysts to deliver reliable data integration for analytics and business decision‑making, adhering to tiered architecture (bronze/silver/gold) and cloud data warehouse standards. **Expectations:** - Minimum 4 years of hands‑on data engineering experience. - Strong problem‑solving mindset and ability to work in fast‑paced, client‑focused environments. - Commitment to data quality, reproducibility, and documentation. **Key Responsibilities:** - Build, deploy, and support data pipelines in Python using Matillion, DPC, or similar tools. - Translate mapping documents into production‑ready workflows. - Implement data quality checks, error handling, and root‑cause analysis. - Apply tiered (bronze/silver/gold) architecture patterns to pipeline design. - Manage metadata and control structures for traceability. - Integrate with cloud data warehouses (Snowflake, Azure Synapse, Redshift, etc.). - Participate in Agile ceremonies (sprint planning, reviews, retrospectives). - Contribute to version control (Git) and CI/CD processes. **Required Skills:** - Python programming for data processing. - Advanced SQL; experience with structured and semi‑structured data. - ETL/orchestration tools (Matillion, DPC, Airflow, dbt, etc.). - Cloud platforms: Snowflake, Azure, AWS, or GCP. - Data quality, error handling, and recovery strategies. - Ability to interpret technical mapping specifications. - Familiarity with Git and CI/CD pipelines. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field (or equivalent practical experience). - Relevant certifications (e.g., Snowflake, AWS/Azure/GCP data engineering, Google Cloud Professional Data Engineer) are a plus but not mandatory.