As a Data Solutions Engineer, you'll be part of a high-performing analytics team, supporting the development and deployment of data infrastructure and solutions. You'll work closely with data scientists, engineers, and business stakeholders to build scalable data pipelines, enhance dashboards, and ensure data integrity across platforms.
Key Responsibilities:
- Collaborate with internal teams and vendors to deliver data solutions aligned with project goals and timelines.
- Design, build, and maintain data pipelines and workflows to support analytics and business intelligence.
- Assist in data migration, cleansing, and validation to ensure high-quality data delivery.
- Develop interactive dashboards and visualizations that support data-driven decision-making.
- Support testing, deployment, and monitoring of data solutions in production environments.
- Gather user requirements and translate them into technical specifications for data products.
Requirements:
- Degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field.
- 1-2 years of experience in data engineering or analytics projects.
- Proficient in Python, R, SQL, and scripting languages.
- Familiarity with cloud platforms and tools such as AWS (e.g., SageMaker, Glue, Athena, Redshift).
- Experience with data visualization tools (e.g., QlikSense, QuickSight) is a plus.
- Strong analytical, communication, and project management skills.
- Ability to work with structured and unstructured datasets.
Interested candidate please click APPLY to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile.
PERSOL Singapore Pte Ltd . RCB No. 200007268E . EA License No. 01C4394
R1107106 (Wong Chee Ann Jacky (Wang Zhian))
GOREF: 13957
By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO's Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at [Confidential Information]. Please feel free to contact us if you have any queries.
