Job Description:
Strong hands-on experience in
Python and PySpark
development for large-scale data processing.
Design, develop, and maintain
ETL/data pipelines
using PySpark, Python, and SQL.
Experience working with
big data technologies
, data transformation, and batch processing.
Strong knowledge of
SQL, data modeling, performance tuning, and optimization
.
Experience with cloud/data platforms such as
AWS, Azure, Databricks, or equivalent
is preferred.
Good understanding of
data quality, reconciliation, validation, and error handling
.
Ability to analyze business requirements and translate them into scalable technical solutions.
Experience working in
Agile/Scrum
environments with strong communication and stakeholder-management skills.
Candidates should be available to work in a
Singapore-based banking environment
.