Lead Data Engineer

What you will be doing: Function as part of an Agile engineering team in the role of Lead Data Engineer, responsible for orchestrating and upholding the highest levels of Engineering and Enterprise Data Warehouse concepts and practices throughout the Software Development Life Cycle, collaborating closely with development, operations, and architecture teams. Define delivery phases and perform project, task, and individual management duties for the team, setting activities, sub-activities, and milestones, while ensuring that development and delivery standards are rigorously enforced. Manage and enhance Continuous Integration, Delivery, and Deployment processes, teams, and users to ensure high-quality and efficient delivery. Collaborate closely with Engineering Managers and Business Analysts to produce accurate delivery estimates and oversee the transition from analysis through design to delivery. Design and implement scalable data solutions using AWS services. Design and implement data models for warehouse solutions. Create and maintain Infrastructure as Code using CloudFormation. Implement comprehensive unit testing strategies. Work closely with cross-functional teams to gather requirements. Mentor junior engineers on AWS best practices and data engineering concepts. Participate in code reviews and technical discussions. Document technical solutions and maintain knowledge base. Deploy and troubleshoot solutions as needed, adhering to best practices throughout the development lifecycle to identify and resolve issues prior to deployment. Plan, design, and develop cloud-based applications, analytical services, and platforms. Ensure adherence to company security guidelines and requirements. What We Are Looking For An enthusiastic team member who fosters collaborative relationships, advocates for technical excellence, and adapts to evolving requirements within a dynamic team environment. Demonstrates excellent communication and organizational skills, with a proactive approach to meeting deadlines and achieving project goals. Proven experience as a Lead Data Engineer with expertise in Python and Spark. Experience in CI/CD pipelines using GitHub and GitHub Actions to streamline development workflows. Develop and maintain ETL pipelines using AWS Glue, Lambda, and EventBridge. Manage data storage solutions across S3 and Redshift. Implement security best practices using AWS IAM. Experience with cloud computing services, particularly AWS ECS, RDS, EFS, S3, and Lambda, to build scalable and resilient applications. Experience with database management including SQL (e.g., MySQL) and NoSQL (e.g., MongoDB), ensuring efficient data storage and retrieval. Ensure code quality through SonarCloud integration. Create and maintain Infrastructure as Code using CloudFormation. In-depth knowledge of Test Driven Development (TDD) for data pipelines and Python. Excellent container orchestration skills using Docker for efficient application deployment and management. Strong understanding of Agile methodologies and practices (Kanban, XP, Scrum). Excellent problem-solving and troubleshooting skills. Process-oriented with strong documentation skills. Bachelors degree in Computer Science or a related field, or equivalent work experience.