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Data Engineer

ITCAN PTE. LIMITED

Singapore

On-site

SGD 60,000 - 80,000

Full time

2 days ago
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Job summary

A technology company in Singapore is seeking a candidate with extensive Big Data experience and strong SQL and Python skills. The ideal applicant should have experience in banking or financial sectors and proficiency in handling sensitive data. Additionally, expertise in data preparation for analytics and knowledge in common Big Data tools such as Hadoop and Spark are essential. A good command of German is a plus. This role may involve working with stakeholders in heterogeneous business settings.

Qualifications

  • Hands-on Big Data experience using common open-source components.
  • Experience in banking or financial business, with handling sensitive data.
  • Good knowledge of German is beneficial, excellent command of English is essential.

Skills

Big Data experience
Expert SQL skills
Python programming
Data preparation for reporting
Stakeholder management

Tools

Tableau
Power BI
Hadoop
Spark
Kafka
Job description
Experience
  • Hands‑on Big Data experience using commonopen‑source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, KBS, Kafka)
  • Experience in stakeholder management inheterogeneous business/technology organizations
  • Experience in banking or financial business,with handling sensitive data across regions
  • Experience in large dat migration projects withon-prem Data Lakes
  • Hands‑on experience in integrating Data ScienceWorkbench platforms (e.g., Knime, Cloudera, Dataiku))
  • Track record in Agile project management andmethods (e.g., Scrum, SAFe).
Skills
  • Knowledge of reference architectures,especially concerning integrated, data-driven landscapes and solutions
  • Expert SQL skills, preferably in mixedenvironments (i.e. classic DWH and distributed)
  • Working automation and troubleshootingexperience in Python using Jupyter Notebooks or common IDEs
  • Data preparation for reporting/analytics andvisualization tools (e.g. Tableau, Power BI or Python based)
  • Applying a data quality framework withinthe architecture

Good knowledge of German is beneficial, excellent command ofEnglish is essential

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