Data Engineer (Oracle/ETL) - spvw
We are seeking a Data Engineer to join our team of analytics professionals. The role focuses on developing, optimizing, and maintaining data pipelines, enhancing data architecture, and ensuring seamless data flow across teams. You will be responsible for building, testing, and maintaining scalable data warehouses and processing systems to support business and analytical needs.
- Competitive remuneration package (up to $7,000 + AWS + VB).
- Hybrid working arrangement.
- Collaborative environment that encourages innovation and growth.
Responsibilities:
- Design, develop, and maintain data architectures, including databases, data warehouses, and large-scale processing systems.
- Build and optimize ETL/ELT pipelines for data integration, transformation, and analytics.
- Collaborate with teams and stakeholders to ensure data flow/achitecture meets analytics requirements.
- Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive model.
- Perform SQL tuning and optimization to improve database performance.
- Improve data quality, availability, and efficiency.
Requirements:
- Singaporean only.
- Minimum of 3 years experience in data architecture, data warehousing, data processing, data modeling and ETL/ELT.
- Bilingual in English and Mandarin to handle Mandarin-speaking clients.
- Proven experience with Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
- Expertise in writing and optimizing Oracle PL/SQL and performing database optimization and performance tuning.
- Working experience in AWS cloud. (Related certification will be added advantage).
- Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig.
- Related certifications in developer/data science/database/machine learning will be a plus.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data not required at this application stage.
- To withdraw consent, email .
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781
We are seeking a Data Engineer to join our team of analytics professionals. The role focuses on developing, optimizing, and maintaining data pipelines, enhancing data architecture, and ensuring seamless data flow across teams. You will be responsible for building, testing, and maintaining scalable data warehouses and processing systems to support business and analytical needs.
- Competitive remuneration package (up to $7,000 + AWS + VB).
- Hybrid working arrangement.
- Collaborative environment that encourages innovation and growth.
Responsibilities:
- Design, develop, and maintain data architectures, including databases, data warehouses, and large-scale processing systems.
- Build and optimize ETL/ELT pipelines for data integration, transformation, and analytics.
- Collaborate with teams and stakeholders to ensure data flow/achitecture meets analytics requirements.
- Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive model.
- Perform SQL tuning and optimization to improve database performance.
- Improve data quality, availability, and efficiency.
Requirements:
- Singaporean only.
- Minimum of 3 years experience in data architecture, data warehousing, data processing, data modeling and ETL/ELT.
- Bilingual in English and Mandarin to handle Mandarin-speaking clients.
- Proven experience with Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.
- Expertise in writing and optimizing Oracle PL/SQL and performing database optimization and performance tuning.
- Working experience in AWS cloud. (Related certification will be added advantage).
- Proficiency in one or more of the following: Java, Hadoop, HDFS, Apache Airflow, Apache Spark, Scala, Hive, Pig.
- Related certifications in developer/data science/database/machine learning will be a plus.
By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to:
- Contact you about potential opportunities.
- Delete personal data not required at this application stage.
- To withdraw consent, email .
- All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.
Wong Vi Yin (Vanessa) – R24123532
ScienTec Consulting Pte Ltd – 11C5781