Data Pipeline Engineer - PySpark, SQL & Cloud (Banking)

Riskdata Consulting; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

Riskdata Consulting invites applications for a data engineering role focused on Python and PySpark development within a Singapore-based banking environment. You will design, build, and maintain ETL pipelines, transforming data with PySpark, Python and SQL to support large-scale processing.

The role requires hands-on experience with Big Data technologies, data transformation, and batch processing, plus strong SQL and data modelling skills.

Qualifications

• Hands-on experience in Python and PySpark for large-scale data processing.

Responsibilities

• Design, develop and maintain ETL/data pipelines using PySpark, Python and SQL.
• Translate business requirements into scalable technical solutions.
• Collaborate in Agile/Scrum environments with stakeholders.
• Work in a Singapore-based banking environment.

Skills

Python

PySpark

SQL

Data modelling

Performance tuning

Big Data

Agile/Scrum

Stakeholder management

Data quality

Data reconciliation

Data validation

Tools

Databricks

AWS

Azure

SQL

Job description

Riskdata Consulting invites applications for a data engineering role focused on Python and PySpark development within a Singapore-based banking environment. You will design, build, and maintain ETL pipelines, transforming data with PySpark, Python and SQL to support large-scale processing.

The role requires hands-on experience with Big Data technologies, data transformation, and batch processing, plus strong SQL and data modelling skills.