Lead Data Engineer

• Handle a portfolio of data engineering projects with a small team of data engineers who report to you directly
• Drive the development, implementation, and documentation of best practices in data engineering throughout the organization
• Collaborate with data and analytics leaders to improve data system functionality
• Provide thought leadership in the area of new technology platforms that will benefit data engineering practice
• Describe, build, and maintain the best data pipeline architecture possible
• Define, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, among other things
• Define and construct the infrastructure needed for efficient data extraction, transformation, and loading from a wide range of data sources
• Assemble large, complex data sets that meet functional and non-functional business requirements
• Create data tools for analytics and data scientist team members to help them build and optimize our products to become innovative industry leaders
• Manage the resolution of data-related technical issues and provide data infrastructure support to business owners

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3-5+ years of relevant data engineering experience
• Ability to adhere to all policies and standards
• Experience in SQL, Python, and Cloud (GCP or AWS)
• Familiarity with Apache Airflow is nice to have
• Proficiency in English