About our client:
Our client is a global, technology‑driven organisation with a strong presence in the Asia‑Pacific region, delivering high‑volume digital platforms and data‑intensive systems that support complex, real‑time business operations. With an established engineering team based in Kuala Lumpur, the company focuses on building scalable, resilient backend services that power mission‑critical applications used across multiple markets. As part of their continued investment in modern backend architecture, they are now seeking an experienced Python Backend Developer to design, develop, and optimise robust services while working closely with cross‑functional teams in a fast‑paced, production‑driven environment.
Responsibilities:
- Ensures all Airflow/Python ETL processes and data is correct and up to date.
- Designs and develops backend services, APIs, and integration components in Python.
- Datawarehouse Concepts and SQL queries
- Maintains security and access to the warehouse.
- Ensures data quality is in accordance with the SLAs.
- Expert skills in development of python scripts and use of standard libraries.
- Ensures all code is of high quality and adheres to standards and best practices.
- Expands the ETL frameworks in line with the architecture requirements.
- Uses GenAI tools such as Github Copilot and MS Copilot for coding and development
- Reviews code changes of peers and ensures all code is of high quality.
Qualifications:
- Must be confident in Python backend programming and data libraries eg. Pandas
- 3-5 years commercial Python (recent)
- Backend and Database interaction
- Efficient in Standard Query Language (SQL)
- Good written and verbal communication
Preferred Skills:
- Working experience in Data processing and/or Data Engineering
- Exposure to Big Data technology, eg Spark, Spark Streaming
- Apache Airflow
- Various GenAI Models such as GPT, Claude
- Familiar with Github Copilot
- Equivalent programming language (Java, C#, Scala)
- Big Data streaming, Spark Streaming, Kafka Streaming, Flink
- Experience working with Data Lakes ideally Azure Data Lake
- Experience with Parque File formats
- AZURE Synapse experience a plus
To apply, please click "APPLY NOW" or email Min Min at minmin.koh@ambition.com.my
Data provided is for recruitment purposes only.
Due to the volume of applications received, we regret to inform you that only shortlisted candidates will be notified.
JTK Number: JTKSM 995| Company Registration Number: 201301019088 (1048918-T)