Data Engineer

We are looking for a skilled and motivated Data Engineer to design, develop, and maintain scalable data pipelines and data processing systems. The candidate will be responsible for collecting, transforming, storing, and managing large volumes of data to support business intelligence, analytics, and data-driven decision-making.

The ideal candidate should have strong knowledge of SQL, Python, ETL/ELT processes, data warehousing, and cloud technologies. Responsibilities include building and optimizing data pipelines, integrating data from multiple sources, ensuring data quality, improving data processing performance, and collaborating with data analysts, data scientists, and other technical teams to deliver reliable data solutions.

•  Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

• Strong understanding of SQL, Python, and database management.

• Knowledge of ETL/ELT processes and data pipeline development.

• Familiarity with data warehousing, data modeling, and data integration.

• Understanding of cloud-based data platforms and storage solutions.

• Ability to process, transform, and manage large datasets efficiently.

• Knowledge of data quality, data governance, and performance optimization.

• Familiarity with big data technologies and workflow orchestration tools is preferred.

• Strong analytical, communication, and teamwork skills.

• Relevant project experience or professional data engineering experience is an advantage.