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Urgent! Data Engineer Job Opening In Singapore, Singapore – Now Hiring RSK CFSE PTE. LTD.

Data Engineer



Job description

We are seeking a Data Engineer with experience or interest in IoT technologies and cloud-based data engineering to join our team.

This role blends the management of high-volume data flows and IoT-specific analytics with general data engineering practices to deliver robust and scalable data solutions.

The ideal candidate will balance technical skills and domain knowledge, enabling data-driven insights for utility operations, customer services, and infrastructure optimisation initiatives.

Key Responsibilities:

  • Design, develop, and maintain scalable and efficient data pipelines and ETL processes for IoT and enterprise data systems.

  • Implement data ingestion workflows from IoT devices and integrate with enterprise platforms using Azure Data Factory or similar tools.

  • Ensure data quality through validation, cleansing, and monitoring processes to address issues such as missing data, duplicates, and inconsistencies.

  • Define data attributes and formats for IoT device and network data to support seamless integration with existing systems and standards.

  • Optimise data storage solutions in Azure Data Lake Storage (or equivalent) for structured and unstructured data.

  • Develop APIs and data interfaces for real-time or near-real-time data transfer between IoT components and enterprise platforms.

  • Apply advanced analytics techniques to IoT data for performance monitoring, usage profiling, and network management.

  • Leverage BI tools (e.g., Power BI) to enable business intelligence and operational insights.

  • Implement robust data security and privacy measures, ensuring compliance with relevant regulations.

  • Collaborate with cross-functional teams to gather requirements and deliver high-quality, documented solutions.

Required Skills & Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.

    Advanced degrees or certifications are advantageous.

  • Academic or industrial experience in data engineering, including SQL Databases and cloud platforms (Azure, AWS, or GCP).

  • Experience or interest in IoT technologies and data systems.

  • Proficiency in data ingestion tools such as Azure Data Factory and ETL processes.

  • Strong programming skills in Python, SQL, and one or more of Java or Scala.

  • Familiarity with big data technologies (e.g., Hadoop, Kafka) and enterprise service buses (ESB).

  • Knowledge of data management systems and integration with enterprise applications.

  • Understanding of operational data flows, business cycles, and regulatory requirements.

  • This position open to fresh graduates.

Preferred Skills & Qualifications:

  • Familiarity with additional Azure ecosystem tools (e.g., Synapse Analytics, Event Hub, Stream Analytics).

  • Experience with APIs, data interfaces, and integrating IoT systems with enterprise data platforms.

  • Relevant certifications in Microsoft Azure or other recognised credentials.

  • Knowledge of DevOps practices and CI/CD pipelines (e.g., Azure DevOps).

  • Familiarity with containerisation technologies such as Docker.

  • Background in implementing Change Data Capture (CDC) designs and scalable data architectures.

Personal Attributes:

  • Excellent communication and collaboration skills.

  • Strong analytical and problem-solving mindset.

  • Proactive approach to continuous professional development.

  • Ability to work effectively in dynamic, fast-paced environments.

This position offers an opportunity to work at the intersection of IoT data systems and modern cloud engineering, supporting innovation and operational excellence across industries.


Required Skill Profession

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