Cloud Data Engineer - AWS, Databricks & IDMC Pipelines

Helius Technologies Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Helius Technologies Pte Ltd in Singapore is seeking a Cloud Data Engineer with 4–5 years of hands-on experience to build, maintain, and optimize a scalable, secure data infrastructure. You will leverage AWS for storage and compute, Databricks for high‑performance data processing, and Informatica IDMC for data integration, governance and quality.

The role requires strong SQL and Python/Scala for Spark processing, experience designing ETL/ELT pipelines, and implementing data governance best

Qualifications

• 4–5 years hands-on experience with data systems.
• Strong SQL and Python/Scala for Spark processing.
• Experience with AWS, Databricks and Informatica IDMC.
• Knowledge of ETL/ELT design and data governance best practices.

Responsibilities

• Data Pipeline & ETL Development using AWS Glue/Lambda and Databricks.
• Storage & Platform Optimization for data lakes and warehouses.
• Data Integration & Quality using Informatica IDMC.
• Security & Governance across AWS and Databricks.
• Automation & Workflow Management with cloud services.

Skills

SQL

Python/Scala

ETL/ELT

Data Governance

Data Pipelines

Tools

AWS

Databricks

Informatica IDMC

Job description

Helius Technologies Pte Ltd in Singapore is seeking a Cloud Data Engineer with 4–5 years of hands-on experience to build, maintain, and optimize a scalable, secure data infrastructure. You will leverage AWS for storage and compute, Databricks for high‑performance data processing, and Informatica IDMC for data integration, governance and quality.

The role requires strong SQL and Python/Scala for Spark processing, experience designing ETL/ELT pipelines, and implementing data governance best