NCS PTE. LTD.
Senior Data Engineer
Non-executive Full Time 6 年以上經驗
技能
Degree in psychologyDesigndefine RolesData PipelineArchitectInformation TechnologyTechnological ProficiencyComputer ScienceData EngineeringData MiningStructured data analysisData MartsReporting & AnalysisData WarehousingSoftware Development
職位描述
We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms that support analytics, reporting, and data-driven decision-making. The successful candidate will work closely with data scientists, analysts, and application teams to ensure reliable, secure, and high-performing data solutions across the organisation.
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL/ELT workflows for structured and unstructured data
- Architect and manage data warehouses, data lakes, and data marts to support analytics and reporting needs
- Optimize data models for performance, scalability, and reliability
- Ensure data quality, integrity, governance, and security standards are met
- Collaborate with business stakeholders, data scientists, and analysts to translate requirements into technical solutions
- Lead troubleshooting and performance tuning of data pipelines and platforms
- Implement monitoring, logging, and alerting for data workflows
- Mentor junior data engineers and provide technical guidance on best practices
- Contribute to architecture discussions, technical standards, and documentation
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
- Minimum 5–8 years of hands-on experience in data engineering or related roles
- Strong proficiency in SQL and data modelling
- Solid experience with ETL/ELT frameworks and data orchestration tools
- Proven experience building and maintaining large-scale data platforms
- Strong analytical, problem-solving, and communication skills
- Ability to work independently and collaborate within cross-functional teams
Technical Skills (Preferred)
- Programming experience in Python, Java, or Scala
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Experience with data warehousing technologies (e.g. Snowflake, BigQuery, Redshift)
- Familiarity with big data technologies (e.g. Spark, Hadoop, Kafka)
- Experience with CI/CD, version control (Git), and Infrastructure as Code (IaC)
- Knowledge of data governance, security, and compliance standards
- Experience working in Agile / DevOps environments
Nice to Have
- Exposure to data visualization or BI tools (e.g. Power BI, Tableau)
- Experience supporting machine learning or advanced analytics workloads
- Prior experience in regulated or large enterprise environments