Data Engineering Specialist

4 weeks ago

Montreal, Quebec, Canada Cosmetic Physician Partners Full time
About the Role

We are seeking an experienced ETL Software Developer to join our data engineering team at Cosmetic Physician Partners.

This is an exciting opportunity to work directly with the founding team, make critical technical decisions, and leave your mark on a product that will change the healthcare landscape.

The successful candidate will design, develop, and maintain efficient ETL pipelines to support our data infrastructure and will work closely with our founders to ensure data is accurately extracted from various sources, loaded into our data warehouse, and transformed for analytical and reporting purposes.

This role requires a strong understanding of database design and the ability to work with large datasets in a fast-paced environment.

Key Responsibilities:
  • Design and Build ETL Pipelines: Develop scalable and efficient ETL pipelines to extract data from various sources, load it into the data warehouse, and transform it into usable formats for analysis.
  • Develop Data Integrations: Build integrations to authenticate, extract and download data from multiple sources, including APIs, databases, and third-party platforms.
  • Optimize Data Workflows: Continuously monitor, tune, and optimize data flows to improve performance and reduce resource consumption.
  • Data Quality and Governance: Ensure data accuracy, integrity, and consistency across different stages of the pipeline. Implement and maintain data quality checks.
  • Documentation: Write comprehensive documentation for ETL processes, including pipeline design, data models, and troubleshooting guides.
  • Troubleshooting and Debugging: Diagnose and resolve issues in production pipelines in a timely manner to minimize downtime and ensure data availability.
  • Automation: Automate repetitive tasks and data workflows using scripting or scheduling tools.
  • Collaboration: Work closely with data engineers, architects, and business stakeholders to understand data requirements and ensure the ETL processes meet business needs.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Experience: 3+ years of experience in ETL development, data engineering, or similar roles.
  • Hands-on experience with ETL tools: dbt (Data Build Tool), Airflow, Talend, or Informatica.
  • Proficiency in working with cloud-based data warehouses: Snowflake, Redshift, BigQuery.
  • Strong SQL skills: Experience with relational databases (PostgreSQL).
  • Experience with scripting languages: JavaScript or Python.
  • Experience with integrating with APIs and JSON or CSV formats.
  • Familiarity with version control systems: Git.
Skills:
  • Solid understanding of data modeling: Database architecture, data warehousing concepts.
  • Strong analytical skills: Ability to troubleshoot and resolve data-related issues.
  • Knowledge of cloud platforms: Google Cloud, AWS, Azure.
  • Ability to manage multiple projects: Prioritize tasks in a fast-paced environment.
  • Excellent communication and collaboration skills.
Preferred Qualifications:
  • Experience with HTTP REST API development.
  • Familiarity with containerization and deployment tools: Docker.
  • Knowledge of machine learning workflows: Integration with data pipelines.
Work Environment:

Hybrid preferred.

What We Offer:
  • Competitive salary and performance-based incentives.

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