Sr. Data Engineer

We are currently looking for a solution-oriented Sr. Data Engineer to help us build and maintain complex data pipelines and analytical solutions that deepen our collective understanding of customers. You will encounter a wide range of problem-solving situations, strategic to real-time, requiring extensive use of data collection and analysis. As a Data Engineer, you will work with the Data Science team to drive and evolve our analytics solutions and data systems. You will greatly contribute to analytics decision-making, analysis, and data integration to enable Kuona to become a world-class data-driven organization.

Requirements

• 5+ years of experience in data engineering role
• Extensive experience in analyzing and integrating data using Python and SQL to extract and transform data according to business rules and requirements.
• 3+ years of experience with Pandas, Relational Databases, NoSQL, and AWS.
• Proven experience with large-scale data warehouses, web APIs, and database platforms to integrate internal and external data sources.
• 3+ years of experience working with large scale data warehouses, web APIs, and database platforms to integrate internal and external data sources
• Strong attention to detail and the ability to think critically and solve problems using analytical and quantitative methodologies.
• Proven analytical and problem-solving skills.
• Demonstrated teamwork and leadership skills, with the ability to mentor and support junior team members.
• Excellent communication skills in both spoken and written English.
• Experience in designing and implementing scalable data architectures and ETL processes.
• Familiarity with data governance and data security best practices.
• Experience with cloud-based data solutions, particularly in AWS.
• Fluent English is required
  
  

Responsibilities

• Gain a deep understanding of and become a subject matter expert for the current database and related functions and systems.
• Create and maintain architectures to ensure optimal pipelines of information.
• Assemble large and complex datasets that meet functional requirements for data collection.
• Identify, design, and implement internal processes to optimize scalability and information delivery, as well as automate manual processes.
• Construct analytical tools to prevent errors in the data, ensuring high-quality information collection.
• Assist in requirements gathering, design, and development of complex data systems that collect, analyze, and measure data across all business units.
• Build infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using diverse technologies.
• Mentor junior engineers, providing guidance and support to foster their growth and development.
• Collaborate effectively with cross-functional teams, demonstrating strong communication and interpersonal skills