Data Engineer | Contract

6 hours ago


Singapore PLOY ASIA PTE. Ltd Full time

Description Summary 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. Responsibilities 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 Requirements 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 #J-18808-Ljbffr Industry Other Category Engineering Sub Category Business Engineering & Management


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