IOT Data Specialists

Oxydata Software; Kuala Lumpur; On-site; MYR 60,000 - 100,000; Full time

Job summary

Oxydata Software recherche un Data Engineer ou Data Scientist pour rejoindre son laboratoire IoT innovant à Kuala Lumpur. Le candidat jouera un rôle clé dans la construction de capacités de données modernes, travaillant sur des pipelines de données évolutifs et des modèles de machine learning, tout en collaborant étroitement avec les parties prenantes pour conduire des décisions basées sur les données.

Qualifications

• Expertise solide en Azure: Synapse, ADX, ADF.
• Compétences pratiques en Python et pySpark.
• Compréhension des pipelines DevOps / ML-Ops.

Responsibilities

• Concevoir et construire des pipelines de données évolutifs dans Azure.
• Développer et déployer des modèles ML et des solutions de données en temps réel.
• Collaborer avec les parties prenantes et diriger des ateliers de données.

Skills

Machine Learning

Data Science

Data Engineering

Python

Azure

pySpark

SQL

NoSQL

Data Architecture

DevOps

Education

MSc in Data Science

MSc in Mathematics

Tools

Azure

Power BI

pySpark

AzureML

Microsoft Fabric

Job description

About the Role:

Are you an experienced Data Engineer or Data Scientist eager to take on real-world challenges? Join our innovative IoT Lab, where youll play a key role in building a modern data capability from the ground up. Youll work with a highly skilled team to deliver agile proof-of-value experiments and maintain production-ready systemsboth on-premises and in the cloud.

This is a brand-new role designed to enhance the teams capabilities in Machine Learning, AI, and Data Science, working closely with internal stakeholders and clients to drive data-driven decisions and predictive insights.

Key Responsibilities:

• Design and build scalable data pipelines in Azure

• Build and deploy ML models, statistical algorithms, and real-time data solutions

• Extract, clean, and transform data from hybrid data sources (open and closed)

• Apply machine learning libraries and advanced statistical techniques

• Create ingestion scripts using pySpark and work with Parquet/Delta formats

• Collaborate with stakeholders and lead data workshops

• Visualize insights using Power BI

• Contribute to the full ML lifecycle with best development practices

Required Skills & Experience:

• Strong expertise in Azure: Synapse, ADX, ADF, Event Hubs, Data Lake

• Hands-on coding: Python, pySpark

• Familiarity with Parquet, Delta Parquet

• Experience with SQL/NoSQL, Data Architecture & Modelling

• Understanding of DevOps / ML-Ops pipelines

• Proven knowledge of ML algorithms, statistical models, and hypothesis testing

• Exposure to AzureML, Microsoft Fabric

• Good development practices: OOP, OOD, SOLID principles

• MSc in Data Science, Mathematics, or related field