Python Developer

1 week ago

Singapore NEURONES IT ASIA PTE. LTD. Full time

We are looking for a Python Data Engineer to within the Data Team of the client's IT Department. This position is part of a project-based engagement expected to run for 6-9 months, focused on building web scrapers and data ingestion pipelines for the client Tokyo Japan Power Trading Team.

The role has the following stakeholders and reporting lines:

- Team and Line Manager: This role will report to the Data Engineering Manager and will be managed by a Senior Data Engineer in the team.

**The role will cover below areas**:

- Collaborate with BAs to clarify requirements in a fast-paced environment.
- Develop scalable Python and PySpark scrapers integrated with existing Databricks frameworks.
- Ingest structured and unstructured data from websites (HTML, PDF, Excel, APIs, CSV, etc.).
- Build and test scrapers in Databricks (DBX), following GM design patterns and using shared libraries.
- Use ADF for orchestration and integrate with GM frameworks for logging, error handling, and translation.
- Write clean, reusable Python code for data processing, automation, and transformation.
- Monitor, debug, and maintain data pipelines to ensure reliability and fast issue resolution.
- Review technical specifications and work closely with FO Analysts for validation and clarification.
- Ensure scrapers support Japanese websites with power market data and adhere to HTML/API nuances.
- Follow IaC and AZD standards as per GM setup for deployment and infrastructure.
- Document pipelines and approaches based on existing standards; explain solutions clearly to users.
- Present work regularly to the Data Engineering Manager, wider team, and Head of Data when needed.
- Validate solutions against functional and non-functional requirements.
- Demonstrate a proactive, problem-solving, and delivery-focused mindset.

**Experience Required**:

- Extensive technical knowledge and experience (5-8 years) of:
**Technologies**:

- Strong expertise in Python programming and SQL.
- Hands-on experience with web scraping and industry best practices.
- Familiarity with Python libraries for language translation (nice to have).
- Knowledge of modern cloud-based data architectures, including Data Lakehouse on Databricks.

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