GenAI-Driven Data Engineer: Scalable ETL & Analytics

Assurity Trusted Solutions Pte Ltd; Singapore; On-site; SGD 70,000 - 120,000; Full time

Benefits offered by this job

GovTech affiliation

Training budget

Contract staff benefits

Job summary

Assurity Trusted Solutions Pte Ltd is seeking a Data Engineer to design and deploy scalable data pipelines powering BI insights and GenAI use cases. You will work with Databricks, PySpark/SQL, and AWS, shaping data models for analytics and supporting GenAI production workflows.

The role emphasizes collaboration with data scientists, ensuring data security, and delivering robust data solutions in a dynamic GovTech-backed environment.

Qualifications

• Minimum 3+ years in data engineering or similar role.
• Experience building scalable ETL/ELT pipelines.
• Strong SQL and Python skills for data manipulation and modeling.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines on AWS/databricks.
• Model data for BI tools like Tableau.
• Collaborate with data scientists and AI engineers to operationalize GenAI.
• Ensure data security and governance across pipelines.

Skills

Python programming

Git version control

Communication

Problem solving

Education

Bachelor's degree in a relevant field

Tools

Databricks

Spark (PySpark/SQL)

AWS (S3, Glue, Lambda, Redshift, Athena)

Tableau

dbt

Airflow

Git

Job description

Assurity Trusted Solutions Pte Ltd is seeking a Data Engineer to design and deploy scalable data pipelines powering BI insights and GenAI use cases. You will work with Databricks, PySpark/SQL, and AWS, shaping data models for analytics and supporting GenAI production workflows.

The role emphasizes collaboration with data scientists, ensuring data security, and delivering robust data solutions in a dynamic GovTech-backed environment.