MAIN DUTIES

• Data Pipeline Development: Design, build, and optimize robust ETL/ELT processes to ingest, process, and move large volumes of structured and unstructured data.
• Data Modeling & Architecture: Create and maintain data models, schemas, and database structures for efficiency and scalability.
• BI Solution Development: Design, build, and deploy interactive dashboards and reports to track KPIs.
• Infrastructure Management: Manage data replicate tool to ensure that data synchronization goes smoothly.
• Collaboration: Work with Business Users to understand needs and deliver solutions.
• Maintenance & Support: Monitor, optimize, and troubleshoot data & dashboards/reports in production environments.

 

SUCCESS INDICATOR

• Responsible for designing and implementing data systems that meet analytical reporting needs.
• Responsible for translating analytical needs to intuitive dashboards/reports.
• Standardizing data models.
• Optimizing processing performance, and completing strategic data projects on schedule during the year.

KNOWLEDGE, SKILLS AND EXPERIENCE NEEDED

• University degree and up.
• English communication.
• Cloud platforms (e.g., AWS, Azure, GCP) and storage solutions (S3, Data Lake, Data Warehouse).
• Experience in data modeling (Kimball, Data Vault, Star/Snowflake schema).
• Familiar with BI tools (e.g., Qlik, Power BI, Tableau) and enabling reporting/analytics teams.
• Prior experience in supporting manufacturing, agriculture, or livestock industries is a plus.
• 3+ years of hands-on experience in data engineering or similar roles.

 

RELEVANT COMPETENCIES

• Strong communication skills to collaborate with business stakeholders and translate business needs into technical requirements.
• Ability to manage multiple priorities across different divisions with strong organizational skills.
• Problem-solving mindset with attention to detail.
• Proactive and self-driven with the ability to work independently and in a team.
• Demonstrated leadership in mentoring junior data engineers or cross-functional collaboration.
• Flexibility and adaptability in a fast-paced environment.