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Urgent! Data Engineer Job Opening In Singapore, Singapore – Now Hiring ARAVALI ASSET MANAGEMENT PTE. LTD.

Data Engineer



Job description

Act as the chief data engineer for the company, with the following responsibilities:

  • Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

  • Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.

  • Visualize, interpret, and report data findings and may create dynamic data reports as well
  • Engineer end-to-end data pipelines using Python, SQL, and Apache Airflow to automate data ingestion, transformation, and integration from multiple third-party applications like Numerix (OVAM and OneView)
  • Standardize raw financial datasets into structured, analysis-ready formats, enabling seamless reporting and analytics across operations, trading, and risk teams.

  • Design and deploy databases for large-scale market and trading data, ensuring efficient storage, retrieval, and management of big data workloads.

  • Develop and deploy APIs using Python to manage and serve big data efficiently, supporting internal applications and analytics workflows.

  • Host and maintain production-grade webservers, databases, and applications, ensuring smooth, reliable, and scalable operations.

  • Create dynamic dashboards using Streamlit, Apache Superset, and Power BI to visualize and interpret live PnL and price movements, improving transparency and decision making for management.

  • Implement machine learning classifiers to research and evaluate trading strategies, supporting alpha generation for strategies.

  • Create automated reporting systems for daily/weekly performance and compliance reporting, reducing manual effort and errors.

  • Build real-time notification scripts that push alerts on significant market movements, enhancing risk management and responsiveness.

  • Collaborate with cross-functional teams (trading, risk, operations) to deliver tailored automation and analytics solutions aligned with business needs.


Required Skill Profession

Other General



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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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