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Senior Data Engineer, CardsPal Venture - SC Ventures

Standard Chartered

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Job Summary


Salary
$7,000 - $14,000 SGD / Monthly EST

Job Type
Permanent

Seniority
Senior

Years of Experience
At least 2 years

Tech Stacks
ETL
Analytics
Azure
NoSQL
SQL
AWS

Job Description


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CardsPal is a newly formed fintech based in Singapore.

The successful candidate will be the part of a start-up team leading developers to build an innovative platform and app leveraging on data, analytics to drive the business. This is a rare opportunity for a self-driven, strong entrepreneurial spirit, start-up minded, solid and passionate individual to participate and contribute to a venture.

Responsibilities:
The successful candidate will be the part of a start-up data team to build an innovative platform and app leveraging on data, analytics to drive the business. This is a rare opportunity for a self-driven, strong entrepreneurial spirit, start-up minded, solid and passionate individual to participate and contribute to a venture.

  • Build and improve existing data pipelines
  • Architect and design data infrastructure on cloud to power the insights needed for data-driven decision-making within organisation
  • Define data sources and specifications, design and implement processes for complex, large-scale datasets used for interactive dashboard, predictive modelling, recommender system and other advanced analytics purposes.
  • Work closely with product owners, data analyst and data scientist on data requirements and delivery
  • Oversee data management and governance to ensure data quality and integrity
  • Stay abreast of industry trends and deliver successful dara solutions by leveraging best practices
Requirements:
  • Background in Software Engineering, Information Technology, Business Analytics, Data Science, Computing or related quantitative discipline.
  • At least 2 years of working experience as a data engineer or similar role.
  • Experience with cloud technology (Eg: AWS, GCP, Azure and etc)
  • Proficient in AWS cloud technology stacks is a plus
  • Experience in both SQL and NoSQL databases
  • Proficient in creating ETL pipelines and good experience in data warehouses and data lakes.
  • Methodical, process oriented, organised and proactive self-starter
  • Able to work well within a team with diverse personalities
  • Able to multi-task, quick to adapt and able to work in fast paced environment. Having worked in an agile environment is a plus.
  • Good written and spoken communication, presentation and negotiation skills

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