Senior Data Engineer

Singapore, Singapore

Job Description


Join Trustana and be a part of our mission to democratize access to import & export markets for all. We are working towards facilitating international participation from companies of all sizes, and supporting the evolution and modernization of SMEs globally. Trustana is a curated B2B trade platform of verifiable, international traders. Designed to empower buyers and suppliers to grow their businesses with confidence, Trustana connects trusted trade partners and supports them through their end-to-end trade journey. Trustana's goal is to enable buyers to bring the highest quality products to their customers by connecting them with pre-screened, curated international suppliers. It also helps suppliers to expand their customer base by supporting the internationalization of their products and connecting them with reputable buyers. The platform leverages decentralised technology to enable users to have control and ownership over their data. Founded by Temasek, a global investment company headquartered in Singapore, Trustana is based in Singapore with a hub in China.
Senior daTa Engineer
At Trustana, we take cross-border trade seriously. It's our mission to simplify the hassles of trading across borders using technology. The 'daTa' team aims to make Trustana a 'daTa'-driven business. Ps: the 'T' in daTa stands for Trustana. (it's all for the T in daTa)
Responsibilities

  • Build Cost-Effective data infrastructure with an emphasis on ease of maintenance
  • Ownership of end-to-end data pipelines and automation of data quality reporting process to ensure data integrity
  • Design, architecture and implement data model using cloud-native infrastructure and services to solve from MVP to scale
  • Workflow flexibility and strong teamwork skills
  • Collaboration with SME/Software engineers and Data Science experts

Ideal Requirements
  • Bachelor's degree in Engineering/ Statistics/ Computer Science/ Data analytics or Data Sciences with 5+ years of experience
  • Relevant work/internship experience applying data science concepts in a business environment
  • Advanced knowledge of Big Data development under distributed computing platforms such as Spark, Hadoop, etc and familiarity with modern relational and non-relational databases
  • Experience in container technology such as Docker/Kubernetes
  • Working knowledge of Linux Shell scripting
  • Familiarity with version control tool such as Git and CI/CD DevOps flow
  • Experience in building & maintaining data pipelines with both structured and unstructured data sources
  • Experience in AWS cloud native computing elements
  • Proficiency with data wrangling and visualization
  • Having any of the following is considered a plus:
  • Statistical knowledge for data analytics and modelling
  • Working knowledge of Julia, Golang, Lambda Serverless, Step Functions, Event Bridge, Kinesis, Kafka, Glue, Athena, Neptune, Graph / Multi-modal databases

Our Culture & Benefits We are a fast growing, multicultural organization with a range of talents from different parts of the world. A progressive company like ours embraces diversity and fosters an inclusive environment for our people to do their best. With a flat hierarchy, we ensure friendliness within our quarters and our employees are provided with unlimited annual leaves and extensive insurance coverage.
Equal Opportunity Statement Our company embraces diversity in all of its forms and fosters an inclusive environment for all people to do the best work of their lives with us. We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

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Job Detail

  • Job Id
    JD1063097
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned