Python Systems Engineer - Automation & Data Pipelines

BASIL TECHNOLOGIES PTE. LTD.

Singapore

On-site

SGD 70,000 - 120,000

Full time

7 days ago
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Job summary

Basil Technologies Pte. Ltd. is seeking a Python-focused professional to gather requirements, analyze processes, and design scalable solutions. The role emphasizes turning business needs into technical specs, APIs, and automated data workflows, with hands-on Python development as a core component.

You will collaborate with stakeholders, document user stories, and support testing, deployment, and continuous improvement initiatives, leveraging Pandas/NumPy for data processing and analytics.

Qualifications

  • Candidates must gather and document business requirements and user stories.
  • Translate requirements into technical specifications and APIs.
  • Design data models and integration points; define data flows.
  • Ensure code quality through testing and documentation.

Responsibilities

  • Collaborate with stakeholders to understand functional requirements and process pain points.
  • Document requirements, user stories, acceptance criteria, and specifications.
  • Analyze processes and identify automation opportunities using Python.
  • Translate business needs into technical requirements for development.
  • Support feasibility, impact analysis, and effort estimation.
  • Design scalable technical solutions and data models; participate in architecture discussions.
  • Identify opportunities for continuous improvement through Python automation.

Skills

Python
ETL
Data analysis
APIs
Documentation

Tools

Pandas
NumPy
SQL Alchemy

Job description

Basil Technologies Pte. Ltd. is seeking a Python-focused professional to gather requirements, analyze processes, and design scalable solutions. The role emphasizes turning business needs into technical specs, APIs, and automated data workflows, with hands-on Python development as a core component.

You will collaborate with stakeholders, document user stories, and support testing, deployment, and continuous improvement initiatives, leveraging Pandas/NumPy for data processing and analytics.

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