Data Engineer [Hybrid]

Responsibilities

• Design, build, and maintain scalable, secure data pipelines and storage systems; ensure data quality through ETL processes and regular checks.
• Implement policies and practices to control, optimize, and secure data assets, ensuring data integrity and accessibility.
• Develop and maintain data models, structures, and databases to meet business needs; communicate data architecture effectively.
• Develop, test, and maintain scripts and programs to automate data processing and pipelines, adhering to industry standards.
• Create and operationalize data visualization solutions to simplify complex data for stakeholders and decision-making.
• Work with cross‑functional teams to gather data requirements, optimize existing processes, and deliver ad hoc reports and insights.

Minimum Qualifications

• Education – At least graduate with a Bachelor’s or Master's Degree in IT, Computer Science...