Data Pipeline & Integration Engineer – Production Support

ARGYLL SCOTT CONSULTING PTE. LTD.

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

ARGYLL SCOTT CONSULTING PTE. LTD.

in Singapore is seeking a mid-level Application Engineer to design, develop and maintain data pipelines and integrations for a client reporting and investment technology project. You will work with business analysts and stakeholders to translate requirements into robust technical solutions, provide BAU support, enhancements and production support for critical data platforms.

Qualifications

  • 5+ years of experience in Application Support or Data Engineering.
  • Strong hands-on Python and SQL development.
  • Experience with data pipelines, integrations, transforms and quality checks.
  • Production support and incident response experience.
  • Ability to work with business and technology stakeholders.
  • Excellent communication and a proactive mindset.

Responsibilities

  • Design, build and maintain scalable data pipelines, integrations and data solutions.
  • Translate business and data requirements into technical solutions with stakeholders.
  • Develop and support data ingestion, transformation, validation and reconciliation processes.
  • Investigate production incidents, perform root-cause analysis and implement fixes.
  • Monitor system and pipeline performance; identify optimization and automation opportunities.
  • Support testing, releases and ongoing BAU activities.
  • Maintain technical documentation including data flows, mappings and runbooks.

Skills

Python
SQL
Data pipelines
Data integrations
Data transformation
Data quality
Troubleshooting / production support
Stakeholders communication

Job description

ARGYLL SCOTT CONSULTING PTE. LTD.

in Singapore is seeking a mid-level Application Engineer to design, develop and maintain data pipelines and integrations for a client reporting and investment technology project. You will work with business analysts and stakeholders to translate requirements into robust technical solutions, provide BAU support, enhancements and production support for critical data platforms.

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