PERSOL SINGAPORE PTE. LTD.
Data Engineer -6 Months
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Nice to have
- Previous experience working within Banking, Financial Services or other large enterprise environments.
- Exposure to risk management, regulatory or financial data would be advantageous.
- Understanding of project delivery methodologies and production support processes.
- Experience working with large-scale, business-critical data platforms.
Full description
Data Engineer – Big Data & Data Integration
Role Overview
We are looking for an experienced Data Engineer to design, develop and enhance enterprise-scale data pipelines and data integration solutions. The role will work across structured and unstructured data environments, supporting high-volume data processing, analytics and real-time data requirements.
The ideal candidate will have strong hands-on experience with Talend, SQL/PLSQL, Teradata/Oracle, Hadoop, Spark and Kafka, with exposure to modern data transformation tools such as DBT.
Key Responsibilities
- Design, develop and enhance scalable data pipelines, ETL processes and data architecture.
- Build and maintain data ingestion pipelines using Talend, integrating data from multiple structured and unstructured sources.
- Work with business and technology stakeholders to understand requirements and translate them into robust data engineering solutions.
- Develop data transformation, cleansing and processing frameworks to improve data quality and availability.
- Build and optimize solutions across traditional databases and Big Data platforms.
- Develop and support real-time and streaming data pipelines using Kafka or similar technologies.
- Support applications and analytics platforms that consume enterprise data to generate actionable business insights.
- Automate manual data processes, ETL workflows and job scheduling to improve operational efficiency.
- Optimize existing pipelines for performance, scalability, reliability and data quality.
- Participate in UAT, system integration testing and production implementation, ensuring solutions meet business and technical requirements.
- Troubleshoot data pipeline, integration and production issues and implement sustainable solutions.
- Collaborate independently with business users, architects, developers, analytics teams and other stakeholders to deliver key projects and initiatives.
Technical Requirements
- Minimum 5 years of experience in Data Engineering, Big Data, Data Integration or Analytics Engineering.
- Strong experience with relational database technologies including Teradata and/or Oracle.
- Advanced knowledge of SQL and PL/SQL.
- Strong hands-on experience with for ETL, data integration and automated job scheduling.