This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
The Data Engineer IV performs complex data operations focusing on transformation and quality include designing and building data pipelines for ETL (Extract, Transform, Load) processes, cleaning and transforming raw data into a usable format, implementing data validation and quality checks to ensure accuracy and reliability, optimizing data storage and retrieval for performance, and collaborating with data scientists to ensure data readiness for analytics and machine learning.
Job Responsibility:
Design and build scalable data pipelines for ETL processes
Develop transformation logic to clean, standardize, and transform data
Integrate raw information from diverse sources to create unified datasets
Implement data validation processes, quality checks, and error handling
Maintain data consistency across systems
Optimize data infrastructure including databases and data warehouses
Collaborate with data scientists, analysts, and other teams
Performance tuning of database and query performance
Manage critical projects, customer engagements or business processes and advise junior team members
Mentor developers with code reviews, design reviews and unit test plan reviews
Requirements:
Bachelor's degree in computer science, software engineering, or a related field
eight (8) or more years of related experience
or an equivalent combination
Cloud data engineering experience (Google Cloud Platform, AWS, Azure or similar)
SQL
Python
AI/ML
Ability to automate and operationalize machine learning workflows
Applies knowledge to analyze and develop solutions to highly complex problems
Develops and maintains a thorough knowledge of key business processes, current and future requirements, and key success factors
Thorough understanding of key business drivers and ability to communicate and translate those needs to technical solutions
Ability to collaborate effectively with senior management
Nice to have:
AI/ML
Ability to automate and operationalize machine learning workflows