Senior Data SME: Azure & Databricks for Banking Solutions

AVENSYS CONSULTING PTE. LTD.; Singapore; On-site; SGD 160,000 - 230,000; Full time

Job summary

Avensys Consulting is seeking a senior Data SME to support a data engineering initiative on Azure and Databricks within a Corporate Banking context.

The ideal candidate brings hands-on data mapping expertise, end-to-end data solution ownership, and a strong SDLC background, with Trade, Lending, or Payments data exposure as a strong plus.

You will lead design, build, and validation of data pipelines, ensuring data quality and traceability across platform components.

Qualifications

• At least 10 years of experience in the data space, with exposure to Corporate Banking.
• Strong data mapping (source-to-target) experience and the Databricks platform expertise.
• Extensive SDLC experience across requirements, design, build, test, and deployment.
• Solid understanding of data warehouse concepts (dimensional modeling, ETL/ELT).
• Strong SQL and Python skills.
• Experience with integration methods: FTP/SFTP, MQ, and APIs.

Responsibilities

• Lead requirement analysis, design, build, and testing activities for data workstreams.
• Own data warehouse design and data mapping, including data modeling and quality standards.
• Design, build, and optimize data pipelines on Azure and Databricks; performance tuning.
• Design and own source-to-target data mapping specifications with traceability.
• Write and troubleshoot SQL and Python scripts for data validation and analysis.
• Drive integration design and delivery using FTP/SFTP, MQ, and APIs between systems.
• Incorporate Corporate Banking context into data solutions, noting domain-specific considerations.

Job description

Avensys Consulting is seeking a senior Data SME to support a data engineering initiative on Azure and Databricks within a Corporate Banking context.

The ideal candidate brings hands-on data mapping expertise, end-to-end data solution ownership, and a strong SDLC background, with Trade, Lending, or Payments data exposure as a strong plus.

You will lead design, build, and validation of data pipelines, ensuring data quality and traceability across platform components.