ETL Developer

Two95 International Inc.; Kuala Lumpur; On-site; MYR 70,000 - 120,000; Full time

Job summary

Two95 International Inc. is seeking an ETL Developer to design, implement, and maintain robust data pipelines in a fast-paced environment. You will extract, transform, and load data from multiple sources, ensuring quality and consistency while optimizing performance.

The role requires hands-on experience with ETL tools (Informatica, Talend, SSIS, DataStage), strong SQL skills, and familiarity with data warehousing concepts; exposure to Spark/Hadoop and cloud platforms (AWS/Azure/GCP) is a plus.

Qualifications

• 3 years of experience in ETL development
• Strong SQL skills
• Hands-on experience with ETL tools (Informatica / Talend / SSIS / DataStage)
• Basic knowledge of Python or scripting
• Understanding of data warehousing concepts
• Experience with Spark or Hadoop (nice to have)
• Exposure to cloud platforms (AWS / Azure / GCP)
• Knowledge of scheduling tools like Airflow

Responsibilities

• Develop and maintain ETL pipelines and workflows
• Extract, transform, and load data from multiple sources
• Ensure data quality, validation, and consistency
• Optimize ETL processes for performance
• Work with data warehouses and large datasets
• Collaborate with cross-functional teams
• Troubleshoot and resolve data-related issues

Skills

ETL development

SQL

Python scripting

Data warehousing concepts

Tools

Informatica

Talend

SSIS

DataStage

Spark

Hadoop

Airflow

AWS

Azure

GCP

Job description

Develop and maintain ETL pipelines and workflows

Extract, transform, and load data from multiple sources

Ensure data quality, validation, and consistency

Optimize ETL processes for performance

Work with data warehouses and large datasets

Collaborate with cross-functional teams

Troubleshoot and resolve data-related issues

Required Skills:

3 years of experience in ETL development

Strong SQL skills

Hands-on experience with ETL tools (Informatica / Talend / SSIS / DataStage)

Basic knowledge of Python or scripting

Understanding of data warehousing concepts

Good to Have:

Experience with Spark or Hadoop

Exposure to cloud platforms (AWS / Azure / GCP)

Knowledge of scheduling tools like Airflow