Senior AVP, Data Platform & Engineering

United Overseas Bank; Singapore; Vor Ort; SGD 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Collaborative work environment

Career development opportunities

Zusammenfassung

A leading bank in Asia is seeking a Data Engineer to develop and maintain infrastructure for enterprise data platforms and machine learning. The ideal candidate will have at least 5 years of experience and will design scalable dashboards using BI tools like Power BI or Tableau. The role also involves collaborating with stakeholders, ensuring data quality, and using cloud-based technologies. They will be part of a team focused on innovation and excellence in data management and engineering.

Qualifikationen

• At least 5 years of experience in data engineering, business intelligence, machine learning engineering, or a related role.
• Hands-on experience in Python and SQL with knowledge of other programming languages.
• Experience with cloud platforms and big data technologies.

Aufgaben

• Develop and maintain infrastructure for enterprise data platforms and machine learning.
• Collaborate with stakeholders to create effective data visualizations and reporting.
• Design and maintain scalable dashboards using BI tools.
• Create and maintain data pipelines for efficient data processing.

Kenntnisse

Python

SQL

Data governance frameworks

Communication skills

Analytical skills

ETL/ELT tools

Ausbildung

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field

Tools

Power BI

Tableau

BigQuery

GCP

AWS

ETL/ELT tools

Jobbeschreibung

A leading bank in Asia is seeking a Data Engineer to develop and maintain infrastructure for enterprise data platforms and machine learning. The ideal candidate will have at least 5 years of experience and will design scalable dashboards using BI tools like Power BI or Tableau. The role also involves collaborating with stakeholders, ensuring data quality, and using cloud-based technologies. They will be part of a team focused on innovation and excellence in data management and engineering.