Data Engineer | Contract

We are seeking experienced Data Engineer to support a high-impact project involving database migration to a cloud-native data lake environment. This is a client-facing, on-site role based in Singapore, requiring strong technical expertise, excellent communication skills, and a problem-solving mindset. The ideal candidates will bring hands-on experience in Python, Apache Spark, SQL optimization, and DevOps practices.

• Lead and execute relational database migration to cloud-native data lake platforms
• Develop robust data processing pipelines using Python (Pandas, PyArrow) and Apache Spark (PySpark)
• Optimize complex SQL queries, perform performance tuning, and implement efficient data models
• Collaborate with DevOps teams to build and maintain Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD pipelines
• Participate in hands-on coding sessions, problem-solving discussions, and stakeholder meetings
• Communicate technical concepts clearly to non-technical stakeholders and provide project updates
• Ensure all deliverables meet quality standards through unit testing and reconciliation techniques

• Python (Pandas, PyArrow) - Production-grade coding practices: modular, efficient, reusable code
• Apache Spark (PySpark) - Building and optimizing scalable data pipelines
• SQL - Expertise in query optimization, data modeling, and performance tuning
• ETL & Data Warehousing - Proven experience in data migration and warehouse implementations
• DevOps - Hands-on with Terraform, CloudFormation, and setting up CI/CD pipelines
• Strong problem-solving abilities and experience breaking down complex data problems
• Excellent communication and stakeholder management skills (essential for client-facing, onshore role)
• Experience with AWS, Snowflake, Databricks, or other big data technologies
• Understanding of Master Data Management (MDM) and its downstream impact