Data Engineer
4 days ago
Roles & Responsibilities
- Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
- ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
- Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
- Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
- Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
- Data Governance: Implement data quality control processes to maintain data integrity and consistency.
- Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
- Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.
Requirements
- Experience with at least one Cloud Infra provider (Azure/AWS). Preferably AWS.
- Hands-on in SQL, NoSQL or Document DB. Should be an expert in SQL queries and scripting.
- Hands-on experience in developing, working and testing on ETL systems is mandatory.
- Hands-on in managing data mapping, data quality and integrity, performance in data processing.
- Visualise, interpret, and report data findings and may create dynamic data reports as well.
- Bachelor’s Degree in Computer Science or equivalent.
- At least 2 years of experience in in data engineering, database management, or a similar field.
- Experience and knowledge with Brick Schema and FIWare Data Models such as NGSI v2.
At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world
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