Senior Cloud Data Engineer - AWS, Databricks & IDMC

Tech Junction Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Path Infotech is seeking an experienced Data Engineer to design, build, and optimize enterprise-scale data platforms. You will deliver scalable data pipelines, work closely with analytics teams, and support cloud-based modernization initiatives in a fast-paced environment.

The role emphasizes AWS, Databricks, and Informatica IDMC expertise, with a focus on performance, reliability, and governance of data across the organization.

Qualifications

• Bachelor’s Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field.
• Minimum 5 years of hands-on Data Engineering experience.
• Strong experience with AWS cloud services and data ecosystems.
• Hands-on Databricks experience for large-scale processing.
• Experience with Informatica IDMC and data integration best practices.
• Proficient in SQL and data modeling concepts.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize cloud-based data platforms using AWS.
• Implement large-scale data transformation and processing workflows.
• Evaluate solutions and improve data performance, scalability, and reliability.
• Troubleshoot complex performance issues in data pipelines.
• Collaborate with analytics and BI teams to deliver trusted data.
• Create robust data models and integration architectures.
• Monitor data quality, governance, and processes.
• Automate workflows and document implementations.
• Support cloud migration and modernization initiatives.

Skills

Analytical thinking

Troubleshooting

Problem solving

Communication skills

Documentation

Cross-functional collaboration

Education

Bachelor's degree in CS/IT/Data Engineering

Tools

AWS

Databricks

Informatica IDMC

SQL

Job description

Path Infotech is seeking an experienced Data Engineer to design, build, and optimize enterprise-scale data platforms. You will deliver scalable data pipelines, work closely with analytics teams, and support cloud-based modernization initiatives in a fast-paced environment.

The role emphasizes AWS, Databricks, and Informatica IDMC expertise, with a focus on performance, reliability, and governance of data across the organization.