Data Platform Engineer

re-zoo-me

Singapore

On-site

SGD 90,000 - 150,000

Full time

44 hours ago
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Job summary

re-zoo-me is seeking a data engineering professional to support and optimize our data platform in a fast-paced environment. You will handle daily operations, monitor pipelines, and troubleshoot incidents, while documenting changes and ensuring security standards across data sources and workflows.

The role requires strong SQL and Python skills, dashboard design experience, and collaboration with infrastructure and product teams to drive cloud transformation and analytics initiatives.

Qualifications

  • Bachelor’s degree in CS/Engineering or related field.
  • 3–5 years of work experience in Data Engineering, Data Science, Software Engineering or IT Infrastructure.
  • Proficient in developing dashboards (QuickSight or Tableau).
  • Proficient in dashboard UX design.
  • Proficient in SQL scripting to analyze, transform and integrate data sources.
  • Proficient in Python.

Responsibilities

  • Support the daily operations of the data platform (e.g. error notifications, job monitoring & recovery, testing pipelines).
  • Investigate and troubleshoot incidents related to technical setup (connectivity, API timeouts, service failures).
  • Document changes to data sources, pipelines, accounts.
  • Research and document technical requirements.
  • Review and fix security vulnerabilities.
  • Collaborate with the infrastructure team on data team requests.
  • Support product managers in cloud transformation for data products.
  • Provide technical support and consultancy to business users.
  • Develop reports to monitor usage, performance and security events.
  • Generate mockup data and create unit tests.
  • Set up DevOps pipelines.
  • Optimize performance of data pipelines.
  • Review pipelines for data management standards.

Skills

Data engineering
SQL scripting
Python
Dashboard design
Dashboard development
Incident troubleshooting

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Tableau
Tableau Server administration
Talend
MS SQL Server
SAS Viya
PowerShell
AWS
DevOps tools
Terraform

Job description

Key Responsibilities
  • Support the daily operations of the data platform (e.g. handling error notifications, job monitoring & recovery, testing data pipelines);
  • Investigate and troubleshoot reported incidents related to technical setup (e.g. connectivity failure, API timeout, service failure);
  • Document changes to existing setup (e.g. data sources, pipelines, accounts);
  • Research, propose and document technical requirements;
  • Review and implement fixes for reported security vulnerabilities;
  • Collaborate with the infrastructure team on the data team requests;
  • Support product managers in cloud transformation journey for data products;
  • Provide technical support and consultancy to business users;
  • Develop reports to monitor usage, performance and security events;
  • Generate mockup data and create unit tests;
  • Set up DevOps pipelines;
  • Optimise performance of data pipelines;
  • Review data pipelines to ensure adherence to data management standards, policies and procedures.
Requirements

To meet the challenges of this role, you must have/ be:

  • Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, or related disciplines;
  • 3-5 years of work experience in Data Engineering, Data Science, Software Engineering or IT Infrastructure
  • Proficient in developing dashboards (preferably with QuickSight or Tableau);
  • Proficient in dashboard UX design;
  • Proficient in SQL scripting to analyze, transform and integrate data sources;
  • Proficient in Python;
Good to haves
  • Experience IT infrastructure (server, database, network administration experience is an advantage);
  • Experience or certification in Tableau Server administration;
  • Experience or certification in Talend administration;
  • Experience or certification in MS SQL Server administration;
  • Experience or certification in SAS Viya administration;
  • Proficient in PowerShell;
  • Experience in AWS or cloud services;
  • Experience in SHIP-HATS or DevOps tools;
  • Experience in Terraform or IaC;
  • Experience with agile or other rapid application development methodologies;
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