Shape the future of data solutions with Apexon as a Lead Data Engineer. Drive the creation of robust data pipelines and frameworks while collaborating with cross-functional teams for business success. In this senior role, you will develop and maintain scalable data infrastructures.

Your expertise in data modeling, pipeline development, and data quality standards will be crucial for delivering high-quality solutions. Collaborating closely with Data Science, Analytics, and Engineering teams, you will optimize ETL/ELT processes while ensuring compliance with data regulations. Key Responsibilities:

- Develop and maintain reliable data pipelines and frameworks
- Ensure data quality and integrity through monitoring processes




- Design and optimize ETL/ELT with automation and scalability
- Collaborate with cross-functional teams on data solutions
- Evaluate and integrate current technologies for improved capabilities

Requirements:

- 8+ years as a Data Engineer with relevant expertise
- Proficient in Databricks, PySpark, and Hadoop
- Strong knowledge of Apache Airflow and Delta Lake
- Experienced in big data ecosystems and SQL
- Familiar with DevOps practices and CI/CD pipelines

Leverage your data engineering expertise to drive impactful solutions at Apexon.

📌 Lead Data Engineer at Apexon (Toronto)
🏢 Apexon
📍 Toronto