Degree in Engineering, Computer Science, or equivalent hands-on experience in data-focused roles.

5+ years designing and maintaining scalable data pipelines, transformations, and workload management processes.

Advanced SQL expertise with extensive experience writing and optimizing queries across multiple relational databases and platforms.

Proven ability to process, model, and manage large volumes of structured and unstructured data using modern programming languages.

Strong communicator and problem-solver with a clear understanding of how data solutions drive business value.

Design and maintain scalable, secure, and high-performing data pipelines optimized for analytics and reliability.

Build and optimize ETL workflows, data models, and algorithms to support production and advanced analytics use cases.

Aggregate and structure large, complex datasets to meet both technical and business requirements.

Introduce and integrate modern data technologies and engineering tools into existing systems and architectures.

Drive continuous process improvements through automation, infrastructure optimization, and thorough documentation and quality controls.