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MABASA / LINKEDIN

Senior Data Engineer

RAPSYS TECHNOLOGIES PTE LTD

Location
Singapore, Singapore
Work type
fulltime
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**🌟 We're Hiring: Senior Data Engineer! 🌟** We are looking for an experienced and skilled Senior Data Engineer to join our data engineering team. The ideal candidate should have strong hands\-on experience in Python, SQL, data architecture, data pipelines, cloud platforms, and modern data engineering technologies. You will be responsible for designing, building, and operating scalable data systems supporting analytics, data science, and digital applications. 📍 Location: Singapore 💼 Role: Senior Data Engineer 🏢 Work Mode: Work from Office Candidate Eligibility: Singapore Citizens / Singapore PR only What You'll Do: 🎯 Design, build, and operate scalable data architectures and pipelines for ingesting, transforming, and serving data. 💻 Develop robust data models and reusable data capabilities for applications, analysts, data scientists, and other data consumers. ⚙️ Build reliable, secure, observable, high\-performance, and maintainable data systems. 🏗️ Evaluate technologies and architectural approaches and contribute to data architecture and engineering standards. 🔄 Implement modern software engineering practices including automated testing, code reviews, CI/CD, and infrastructure\-as\-code. 🤝 Collaborate with engineers, Product Managers, Data Scientists, analysts, and business users. 👨‍💻 Provide technical leadership through design reviews, mentoring, and knowledge sharing. What We're Looking For: ✅ Strong software engineering fundamentals with hands\-on experience in **Python and SQL** . ✅ Strong experience in **data engineering and enterprise data architecture** . ✅ Experience designing and developing **data pipelines and data models** . ✅ Strong understanding of **Data Warehouse, Data Lake, and Lakehouse architectures** . ✅ Experience with cloud platforms, preferably **AWS** . ✅ Experience with modern data platforms such as **AWS Redshift, Snowflake, Databricks, BigQuery** , or equivalent. ✅ Experience with data orchestration, transformation, and modelling tools. ✅ Strong understanding of production engineering practices including **testing, CI/CD, monitoring, troubleshooting, and data quality** . Good to Have: ⭐ Experience with **Apache Airflow** or equivalent workflow orchestration tools. ⭐ Experience with **dbt** or equivalent transformation and analytics engineering frameworks. ⭐ Experience with **Apache Spark** and distributed data processing. ⭐ Strong experience with **AWS data services and cloud infrastructure** . ⭐ Familiarity with **Tableau, Power BI** , or equivalent BI and analytics tools. ⭐ Experience with **Infrastructure\-as\-Code, data observability, metadata, data catalogue, or data lineage** . ⭐ Experience working with sensitive or regulated data. Eager to shape the future of data? 🚀 Apply now and be part of our growth journey!

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