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.