Senior Data Engineer, Data Governance Lead

📋 Description Lead technical architecture, design, and development of enterprise data quality, discovery, and Establish and enforce enterprise-wide data governance standards, policies, tooling, and processes Lead design and implementation of custom integrations within data discovery frameworks like Datahub Develop AI/ML-based solutions for data quality, anomaly detection, and automated data discovery. Extend and customize open-source data quality frameworks and tools like Deequ and Great Design and implement robust batch and real-time data pipelines using Apache Spark to support 🎯 Requirements Master's degree or foreign equivalent in Data Science, Computer Science, or related field. 6 years of experience in the position or a related occupation. Will also accept a Bachelor's degree or foreign equivalent in Data Science, Computer Science, or Must have at least 1 year of prior work experience in the following: Technical lead, driving Design and implementation of enterprise-grade data quality, discovery, and governance frameworks Developing Artificial Intelligence (AI) and Machine Learning (ML) solutions to solve data quality 🎁 Benefits Global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical Employees are supported in taking time off, in accordance with local leave policies and other