Apexon is looking for a Lead Data Engineer in Toronto, Canada, to drive the design and optimization of scalable data platforms. Bring your 7+ years of data engineering expertise to support AI/ML initiatives and key business analytics. In this prominent role, you will collaborate with product managers and data scientists to translate business needs into effective data solutions. Proficiency in Python, Hadoop, Databricks, and SQL will be crucial as you lead a team in developing high-quality data pipelines. Your strategic insights and technical leadership will enhance the company's data capabilities. Key Responsibilities: • Oversee ingestion and transformation of complex datasets • Create and maintain high-performance data pipelines • Guarantee data quality and reliability across processes • Partner with stakeholders to implement scalable solutions • Mentor junior engineers on best practices Requirements: • Minimum 7 years in Data Engineering • Experience in a leadership capacity preferred • Expert knowledge of Python, SQL, and big data tools • Familiarity with cloud platforms like AWS or Azure • Skills in ETL/ELT pipeline development Leverage your expertise to shape the future of data solutions at Apexon. #J-18808-Ljbffr
Lead Data Engineer with Apexon • Toronto, ON, Canada
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