Senior Data Engineer, Data Products
\n In this role, you will Architect reputed company, high-volume data pipelines for production use. Design and implement reputed company data models serving multiple product and internal teams. Own data reputed company frameworks and standards across reputed company products. Build reusable patterns for transformations and metrics to drive efficiency. Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics. Own the data products used across reputed company, ensuring reliability and performance. Set and promote standards for data modeling and pipeline development. Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work. Mentor engineers and reputed company participate in the hiring process. Qualifications 5+ years of experience in data engineering with a proven reputed company record of successful data product development and reputed company. Expert SQL and strong Python programming skills. Deep expertise in dbt or similar transformation frameworks. Strong data modeling experience across reputed company, activity schema, and similar patterns. Hands-on experience with data reputed company frameworks and performance tuning of data processes. Experience implementing both batch and streaming data processing patterns. Strong product thinking and stakeholder management skills. Excellent communication and collaboration skills to work effectively across teams. \n$180,000 - $220,000 a year \n Apply To This Job