Cloud Data Engineer - Data Warehouse & Pipelines Lead

Ams Osram; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Ams Osram is seeking an experienced Data Platform Engineer to design and implement cloud-based data solutions for the organization. You will work with data scientists, analysts, and stakeholders to translate data requirements into scalable pipelines and models.

The role requires hands-on experience with Snowflake/Databricks, SQL, Python, and modern data tools (Airflow, NiFi, Azure Data Factory, dbt). You will operate in an international team and contribute to best practices and governance.

Qualifications

• Bachelor’s degree in Computer Science or similar.
• Minimum 5 years in cloud data warehousing, Snowflake/Databricks preferred.
• Experience in international teams and data modeling.
• Strong SQL and ETL framework knowledge.
• Data staging with SQL/Python; data viz with Power BI.
• Familiarity with NiFi, Azure Data Factory, dbt, and Airflow.

Responsibilities

• Design and implement cloud-based data solutions aligned with business needs.
• Build scalable data pipelines from multiple source systems.
• Apply business rules and transformations using SQL/Python.
• Monitor and optimize data transfer cost and performance.
• Collaborate with stakeholders and communicate best practices.
• Document data models, pipelines, and governance standards.

Tools

Snowflake

Databricks

SQL

Python

Data Vault 2.0

Star Schema

Power BI

Apache NiFi

Azure Data Factory

dbt

Apache Airflow

Job description

Ams Osram is seeking an experienced Data Platform Engineer to design and implement cloud-based data solutions for the organization. You will work with data scientists, analysts, and stakeholders to translate data requirements into scalable pipelines and models.

The role requires hands-on experience with Snowflake/Databricks, SQL, Python, and modern data tools (Airflow, NiFi, Azure Data Factory, dbt). You will operate in an international team and contribute to best practices and governance.