Data Engineer, Asset Intelligence Platform – Power BI & Spark

Tap Growth ai; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Tap Growth ai in Singapore seeks a Data Engineer for the Asset Intelligence Platform. The role focuses on building robust data pipelines, creating dashboards, and delivering scalable data solutions using Power BI, Tableau, Grafana and Apache Spark. Office-based position in a fast-paced environment.

The candidate will design ETL processes, optimize Spark workloads, and collaborate with product, data, and operations teams to turn data into actionable insights.

Qualifications

• Minimum 3 years' experience as a Data Engineer or similar role.
• Proficiency in Power BI, Tableau, Grafana & Apache Spark.
• Strong SQL and scripting skills (Python/Scala preferred).
• Experience with ETL processes and big data technologies.
• Excellent problem-solving abilities & attention to detail.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Integrate data from multiple sources into the platform.
• Develop dashboards and reports using Power BI, Tableau & Grafana.
• Optimize performance of Apache Spark applications.
• Collaborate with cross-functional teams for effective data solutions.
• Ensure accuracy and security of asset-related data.

Skills

Power BI

Tableau

Grafana

Apache Spark

SQL

Python

Scala

ETL

Big data

Data visualization

Tools

Power BI

Tableau

Grafana

Apache Spark

Job description

Tap Growth ai in Singapore seeks a Data Engineer for the Asset Intelligence Platform. The role focuses on building robust data pipelines, creating dashboards, and delivering scalable data solutions using Power BI, Tableau, Grafana and Apache Spark. Office-based position in a fast-paced environment.

The candidate will design ETL processes, optimize Spark workloads, and collaborate with product, data, and operations teams to turn data into actionable insights.