Apply engineering science and technology, including principles, techniques, procedures,
and equipment to the design and implementation of data warehouse and advanced analytical applications.
- Enhance and maintain corporate data warehouse and analytical platforms.
- Support engineering needs associated with advanced analytical capabilities including machine learning, predictive modeling, and artificial intelligence.
- Debug, test, and optimize data pipelines and ETL processes for performance and reliability.
- Design and implement data architectures that support scalability, performance, and compliance requirements.
- Collaborate with data scientists and analysts to implement advanced analytics solutions.
- Implement data security, encryption, and access control mechanisms.
- Support data migration and integration projects.
Preferred candidate profile
Qualifications
- Solid knowledge of data engineering principles and practices.
- Proficiency in programming languages (Python, Java, Scala) and SQL.
- Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).
- Knowledge of database design and data modeling.
- Understanding of ETL and data integration concepts.