Cloud Engineer

Key Responsibility

1. Proven hands-on experience as a Data Engineer or Analytics/Data Engineering role, supporting Manufacturing and/or Supply Chain analytics use cases.
2. Drive end-to-end data engineering initiatives, including Databricks, data integration, ETL development, data modeling, and the maintenance of high-quality, consistent data across multiple source systems.
3. Ability to quickly understand existing architectures, identify data gaps, and propose practical, scalable solutions.
4. Comfortable working with ambiguous business requirements and proactively driving clarification and improvement.
5. Demonstrates a strong growth mindset: curious, adaptable, and continuously improving both technical skills and solution quality.
6. Demonstrate strong ownership and responsiveness in ensuring system stability.

Must-Have

• Hands-on experience as a Data Engineer or Analytics/Data Engineering role (Preferably supporting manufacturing and supply chain analytics use cases).
• Can work hands-on with data pipelines, data models, and upstream system integration, and can deliver value quickly in a production environment.
• Strong experience in data integration, ETL development, data modeling, and ensuring data quality and consistency across multiple source systems
• Databricks and CDC pipeline (Qlik Replicate) monitoring and troubleshooting.
• Possess good concept with SQL, Data Warehouse, Fact / Dimension, Data Modeling, ETL Concept, Incremental Load, Data Quality.

Good-to-Have

• Experience working in AWS cloud environments.