Data Solutions Engineer

6 days ago

Singapore JOBTECH PTE. LTD. Full time

**About JobTech**

JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspiration. JobTech is growing rapidly with global big names customers from both private and public sectors.

**About the Team**

The JobTech team is an enthusiastic bunch, obsessed with solving human capital business problems in talent development, using deep technology and labour market data. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers who are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know

JobTech is a product start-up looking to solve real world labour problems and deliver the best possible experience to our end users. We are looking for self-driven and eclectic individuals.
- Obtain data insights from raw data and present them in a meaningful manner in the form of data reports, visualisations or analysis.
- Support sales and marketing team with the generation and maintenance of statistics and data reports.
- Work closely with data scientists to curate and improve on JobTech’s data engine, including but not limited to data curation and model improvement.
- Address client queries on JobTech’s data and analytics solutions, validations and capabilities.
- Independently diagnose and identify data quality issues and implement solutions to resolve them.
- Propose, manage and build long term solutions to improve data integrity (both engineering and people management aspects).
- Research, evaluate and experiment on new data models or improvements on existing models.
- Design and implement reliable, scalable and robust data systems that support core products and business
- Implement and automate data quality checks, data validation processes, and error handling mechanisms to ensure the reliability and consistency of the data.
- Familiarity with data warehousing and ETL processes is a plus.

**Requirements**:

- A self-starter that can thrive in a fast-paced environment.
- 2 years of working experience preferred.
- Proficient in Python (for data analytics) and SQL.
- Knowledge in text mining or NLP. Hands-on experience with text mining or NLP will be a plus.
- Experience with interactive visualisations or dashboard frameworks such as Plotly and Dash is an added advantage.
- Passionate about data engineering and analytic techniques, and willing to pick up new skills/tools.

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