Senior Data Engineer

ScalePad

ScalePad stands as a leader in the SaaS industry, supporting Managed Service Providers with advanced tools for operational enhancement. With global operations, they pride themselves on innovation and a commitment to driving IT landscape modernization. Recognized with numerous awards and serving thousands of clients worldwide, ScalePad offers an environment where professionals can thrive and contribute meaningfully.

In this role you can expect to have the responsibilities:

• Integrate into current initiatives and projects by understanding team dynamics and workflows.
• Master the company's technology architecture to enhance system and infrastructure knowledge.
• Align data engineering projects with organizational business operations and goals.
• Join a development team to launch significant projects.
• Collaborate with data scientists to design robust data engineering solutions.
• Develop data lake and data warehouse solutions for optimized data management.
• Create solutions that facilitate data flow and inter-departmental communication.
• Manage tasks autonomously with the ability to adapt to shifting priorities.
• Maintain high quality standards in personal and team outputs.
• Stay updated with industry trends, displaying a willingness to learn outside comfort zones.

This role comes with the following benefits:

• Participation in the Employee Stock Option Plan (ESOP).
• Opportunities for professional growth under experienced leadership.
• Annual budget for professional development.
• Flexible hybrid work arrangement.
• Access to top-tier office amenities.
• State-of-the-art office and home office equipment.
• Comprehensive medical and dental benefits, fully covered by the employer.
• RRSP matching after one year of employment.
• Monthly stipend for hybrid work expenses.
• Unlimited flex-time and vacation policy to recharge and thrive.

This role requires you to have:

• 5-7+ years as a Data Engineer with successful data solutions delivery.
• Proficiency in Python, R, C#, or similar languages.
• Strong understanding of SQL and NoSQL databases.
• Familiarity with Agile development methodologies.
• Experience in data modeling and ETL processes.
• Proficiency in Databricks, PySpark, and DBT.
• Experienced with data ingestion tools like Fivetran, Airbyte, and Airflow.
• Passion for Big Data, machine learning, and AI.
• Strong problem-solving skills and a passion for learning.

You would benefit from having:

• Experience with OLAP databases.
• Knowledge in artificial intelligence and event sourcing.

ScalePad promotes diversity, equity, inclusion, and belonging, ensuring a workplace where diverse perspectives are valued and foster innovation. Located globally, candidates must be eligible to work in Canada.