Data Engineer (ETL/Scala) Mid size organisation

Role & responsibilities

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

• Strong 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.