Data Scientist jobs in Singapore
Data Engineer ( Spark & Hive)
Unison Consulting Pte Ltd
Data Analyst - Brand Analytics, Regional Brand Partnership (Entry-Level)
Shopee
Data Analyst Vacancies in Singapore on Contract Basis 2025
Newspaper WordPress
Discover more opportunities than anywhere else. Find more jobs nowMachine Learning Engineer, Generative AI Innovation Center
ENGINEERINGUK
Connect with headhunters to apply for similar jobsData Engineer (Government Project)
SCIENTEC CONSULTING PTE. LTD.
Machine Learning engineer,TikTok Search
TIKTOK PTE. LTD.
Big Data Engineer (Libra) - Data Platform
TIKTOK PTE. LTD.
Data Engineer ( Spark & Hive)
Job summary
A consulting firm in Singapore is seeking a skilled Data Engineer to build scalable data solutions. The ideal candidate will have strong expertise in SQL, Python, Spark, and Hive, along with 4–7 years of experience. Responsibilities include designing effective data pipelines and collaborating with various teams to support business decisions. A Bachelor's degree is required, with knowledge of cloud platforms being advantageous.
Qualifications
- 4–7 years of experience as a Data Engineer (or similar role).
- Experience with distributed data processing and big data ecosystems.
- Strong problem-solving and communication skills.
Responsibilities
- Design, develop, and maintain robust, scalable data pipelines and ETL processes.
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
- Implement data quality, validation, and monitoring processes to ensure reliability.
Skills
Education
Tools
We are seeking a skilled Data Engineer to join our team in Singapore. The ideal candidate will have strong expertise in SQL, Python, Spark, and Hive, with hands-on experience building scalable data pipelines, data models, and analytical solutions. You will work closely with data scientists, analysts, and business stakeholders to deliver high-quality data solutions that support business decision-making.
- Design, develop, and maintain robust, scalable data pipelines and ETL processes.
- Optimize data storage, retrieval, and processing using SQL, Spark, and Hive.
- Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
- Implement data quality, validation, and monitoring processes to ensure reliability.
- Support data modeling, warehousing, and integration for analytics and reporting.
- Write clean, efficient, and reusable Python code for automation and data processing.
- Ensure data security, compliance, and governance across all solutions.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 4–7 years of experience as a Data Engineer (or similar role).
- Strong proficiency in SQL, Python, Spark, and Hive.
- Experience with distributed data processing and big data ecosystems.
- Hands-on experience with data pipeline tools (e.g., Airflow, NiFi, or similar) is a plus.
- Familiarity with cloud platforms (AWS, Azure, or GCP) is advantageous.
- Strong problem-solving and communication skills.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.