Enhance Apexon's data initiatives as a Data Engineer. Lead the development of scalable and effective data pipelines while collaborating with cross-functional teams across the organization. In this essential position, you will be responsible for maintaining high data quality, integrating current technologies, and developing ETL/ELT processes.

Your role will involve extensive collaboration with teams in Data Science, Product, and Engineering to create impactful data solutions. Your mastery in data engineering and pipeline optimization will be vital in ensuring operational excellence. Key Responsibilities:
Manage the development and maintenance of data pipelines
Ensure data integrity through validation and monitoring processes




Design automated ETL/ELT processes for improved efficiency
Collaborate effectively with diverse teams on data solutions
Evaluate emerging technologies to enhance data capabilities

Requirements:
At least 8 years in data engineering roles
Experience with Databricks, Hadoop, and PySpark
Knowledge of Apache NiFi and Delta Lake
Proficient in SQL for complex data queries
Hands-on with CI/CD pipelines and Git practices

Utilize your expertise to elevate data practices and solutions at Apexon.

📌 Apexon Data Engineer Opportunity Toronto
🏢 Apexon
📍 Toronto