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 recent technologies for improved capabilitiesRequirements:
8+ years as a Data Engineer with relevant expertise
Proficient in Databricks, PySpark, and Hadoop
Solid knowledge of Apache Airflow and Delta Lake
Experienced in big data ecosystems and SQL
Familiar with DevOps practices and CI/CD pipelinesLeverage your data engineering expertise to drive impactful solutions at Apexon.#J-18808-Ljbffr

📌 Lead Data Engineer At Apexon Toronto
🏢 Apexon
📍 Toronto