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Senior Data Engineer
2 months ago
Job Title: Senior Data Engineer
Job Type: Contract
Location: Downtown Toronto (Hybrid)
About Us: Quantum Technology Recruiting Inc. is a leading technology recruitment agency that specializes in finding top talent for our clients.
Job Description:
We are seeking a highly skilled Senior Data Engineer to join our client's Data Management team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure, working closely with data architects and business analysts to optimize systems for performance and scalability.
Key Responsibilities:
- Design and implement data pipelines to ingest, store, and transform data from various sources.
- Develop data models and optimize the architecture for efficiency.
- Ensure data quality and troubleshoot performance issues.
- Accelerate data-driven decision-making to enhance product and engineering strategies.
- Create scalable data models and reliable ETL pipelines (experience with Informatica IICS is preferred).
- Maintain secure and efficient data storage solutions in collaboration with the Security Architect.
- Work with teams to design data models and warehouses that meet business needs.
- Continuously improve data pipelines for performance and scalability.
- Implement data governance policies for accuracy, security, and compliance.
- Expertise in data warehouses/lakes and cloud-based storage (AWS S3).
- Strong knowledge of data integration, ETL processes, and working with XML/JSON formats.
- Ability to explain technical concepts to non-technical teams.
- Strong collaboration and problem-solving skills, with experience managing multiple projects.
- Proficiency in SQL, Python (preferred), Snowflake, and API integration.
- Minimum five years of experience building data pipelines and warehouses.
- Familiarity with agile development methodologies and best practices for data processing.
Requirements:
- 5+ years of experience in data engineering.
- Strong knowledge of data integration, ETL processes, and working with XML/JSON formats.
- Experience with cloud-based storage (AWS S3) and data warehouses/lakes.
- Proficiency in SQL, Python (preferred), Snowflake, and API integration.
- Strong collaboration and problem-solving skills.
- Ability to explain technical concepts to non-technical teams.
