KPI Digital Senior Data Engineer
Posted
Summary
Senior Data Engineer at KPI Digital to spearhead the Data & Analytics Group: architect a modern LakeHouse data platform across Azure, AWS, and GCP, build and lead a data engineering team, optimize data pipelines, and support consulting and AI pre-sales engagements. Hybrid role based in Quebec.
Elevate your data expertise at KPI Digital as a Senior Data Engineer. Lead data engineering efforts and architect modern solutions in a hybrid work environment.
KPI Digital seeks a Senior Data Engineer to spearhead our Data & Analytics Group. This role merges data engineering and platform architecture, perfect for problem solvers with experience in real-time LakeHouse Architectures on Azure, AWS, and GCP. You will guide a team to enhance the Modern D&A Platform and engage in consulting, advocating for our brand through content creation and speaking engagements.
Key Responsibilities: • Define and maintain Modern D&A Platform Architecture • Build and lead a diverse Data Engineering team • Support AI Pre-Sales activities and client consultations • Create and optimize Data Pipelines across cloud providers • Develop training programs to elevate team skills
Requirements: • 15 years in ETL/ELT and Data Pipelines • 7 years as a solution architect • 5 years in a Senior Management role • Expertise with Data Lake technologies • Proven ability in Python and Spark development
Drive innovation in data engineering while advancing your career at KPI Digital.
KPI Digital seeks a Senior Data Engineer to spearhead our Data & Analytics Group. This role merges data engineering and platform architecture, perfect for problem solvers with experience in real-time LakeHouse Architectures on Azure, AWS, and GCP. You will guide a team to enhance the Modern D&A Platform and engage in consulting, advocating for our brand through content creation and speaking engagements.
Key Responsibilities: • Define and maintain Modern D&A Platform Architecture • Build and lead a diverse Data Engineering team • Support AI Pre-Sales activities and client consultations • Create and optimize Data Pipelines across cloud providers • Develop training programs to elevate team skills
Requirements: • 15 years in ETL/ELT and Data Pipelines • 7 years as a solution architect • 5 years in a Senior Management role • Expertise with Data Lake technologies • Proven ability in Python and Spark development
Drive innovation in data engineering while advancing your career at KPI Digital.