Job Description
- Assist in collecting, processing, and validating data from multiple sources to ensure accuracy and completeness.
- Support the development and maintenance of data pipelines and ETL processes (Extract, Transform, Load).
- Perform data cleaning and transformation to prepare datasets for analysis and reporting.
- Monitor data workflows and identify errors or inconsistencies, escalating issues when necessary.
- Help maintain and update databases and data storage systems.
- Write and optimize basic SQL queries and scripts for data extraction and manipulation.
- Assist in generating reports, dashboards, and visualizations for stakeholders.
- Collaborate with senior engineers and other teams to improve data processing efficiency and automation.
- Document data processes, workflows, and system changes for reference and compliance.
- Ensure adherence to data governance, privacy, and security policies.
- Support troubleshooting and resolve technical issues related to data processing systems.
- Participate in testing and implementation of new tools or system enhancements.
Job Requirements
- Diploma in Computer Science or Information Technology or equivalent field of study.
- 0-2 years of experience in data engineering, data processing, IT, or a related field (entry-level friendly).
- Proven experience in data cleaning, transformation, or analysis.
- Experience in working with databases (e.g., SQL).
- Exposure to data processing tools or frameworks (e.g., ETL pipelines).
- Exposure to spreadsheet tools (Excel) or data visualization tools (e.g., Power BI, Tableau).
- Familiarity with handling structured and/or unstructured data.
- Experience working in a team or collaborative environment is a plus.
Specific Skills
- Proficiency in SQL (queries, joins, filtering, aggregations).
- Basic programming in Python (e.g., Pandas, Numpy) or similar languages.
- Understanding of ETL processes (Extract, Transform, Load).
- Experience with data cleaning and preprocessing.
- Familiarity with databases (MySQL, PostgreSQL, SQL Server, etc.)
- Handling data formats such as CSV, JSON, XML.
- Basic knowledge of data warehousing concepts.
- Exposure to tools like Excel, Power BI, or Tableau.
Location:
Pioneer Yard
50 Gul Road, Singapore 629351
(Islandwide transport provided)
Working Hours
Monday – Thursday: 8:00am – 5.15pm
Friday: 8:00am – 4.30pm
Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.
We regret that only shortlisted candidates will be notified.
Please note that your personal data disclosed to Seatrium Limited and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.
BUSINESS UNIT
Seatrium Limited