Senior AVP, Data Platform & Engineering

United Overseas Bank

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Collaborative work environment
Career development opportunities

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
SQL
Data governance frameworks
Communication skills
Analytical skills
ETL/ELT tools

Education

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

Job description

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.
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