jobs in Optimum Solutions Pte Ltd

Kerja Sepenuh Masa, Senior Data Analyst (Corporate Banking) di Optimum Solutions Pte Ltd - Maukerja

Senior Data Analyst (Corporate Banking)

Optimum Solutions Pte Ltd

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

About the Role

We are looking for a Senior Data SME to support a data engineering initiative built on Azure and Databricks within a Corporate Banking context. The ideal candidate brings deep, hands-on technical experience in data mapping and the Databricks platform, strong SDLC and data warehouse fundamentals, and is comfortable owning data solutions end-to-end on a live banking data platform. Trade, Lending, or Payments domain exposure is a strong plus.


Key Responsibilities


  • Apply SDLC concepts to lead requirement analysis, design, build, and testing activities for data workstreams.
  • Own data warehouse design and data mapping activities, including data modeling and data quality standards.
  • Design, build, and optimize data pipelines on Azure and Databricks, including performance tuning and troubleshooting.
  • Design and own source-to-target data mapping specifications across platform components, ensuring traceability and sign-off.
  • Write and troubleshoot advanced SQL and Python scripts for data validation, transformation, and analysis.
  • Drive integration design and delivery involving file transfer protocols (FTP/SFTP), MQ, and APIs between source and target systems.
  • Bring Corporate Banking context to data solutioning, flagging domain-specific considerations (e.g., Trade, Lending, or Payments data) where relevant.


Required Skills & Experience


  • At least 10 years of experience in the data space, with exposure to Corporate Banking.
  • Technically strong in data mapping (source-to-target) and the Databricks platform — pipeline development, job/cluster management, and performance tuning.
  • Strong experience across SDLC phases: requirements, design, build, test, and deployment.
  • Strong understanding of data warehouse concepts (e.g., dimensional modeling, ETL/ELT).
  • Strong working knowledge of Azure and Databricks.
  • Strong hands-on SQL and Python skills.
  • Working knowledge of integration methods: file transfer protocols (FTP/SFTP), MQ, and APIs.
  • Excellent communication skills and proven hands-on ownership of a live data platform.

Peringatan Penting

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