Data Engineer

KEY RESPONSIBILITES (JOB REQUIREMENTS) 1 Data Engineering & Platform Support 2 Design and maintain basic data pipelines and integration processes to support reliable data flow and ensure data availability for analytics. 3 Implement and monitor data validation and cleansing routines to improve data quality and ensure accurate reporting. 4 Support and troubleshoot operational issues in data pipelines and databases to maintain smooth and continuous platform performance.

5 Develop and update dashboards and reports to visualize key metrics and support data-driven decision-making across teams. 1 Collaboration & Business Understanding 2 Collaborate with stakeholders to gather data requirements and ensure solutions align with business needs and objectives. 3 Communicate data insights and findings in a clear and actionable manner to support informed decision-making by non-technical stakeholders.

4 Assist in analyzing structured and unstructured data to identify trends and patterns that contribute to solving business problems. 1 Learning & Continuous Improvement 2 Research and apply suitable machine learning models or statistical techniques under guidance to support business use cases. • Stay updated on industry trends and tools in data engineering and analytics to enhance technical skills and contribute to team innovation.

• - Recommend and support process improvements to increase data pipeline efficiency and improve data reliability over time. JOB REQUIREMENTS/JOB QUALIFICATIONS Bach