Talent.com
Senior BI Reporting Engineer

Senior BI Reporting Engineer

RazerKuala Lumpur, Kuala Lumpur, Malaysia
9 jam yang lalu
Penerangan pekerjaan

Job Responsibilities / 工作职责

  • Design, develop, and maintain automated financial reports and dashboards, applying AI-driven methods to streamline data processing and reporting.
  • Leverage LLMs and AI tools for intelligent data validation, anomaly detection, reconciliation, and report generation.
  • Collaborate with finance, payment operations, and engineering teams to gather requirements and implement AI-enabled reporting solutions.
  • Enhance ETL processes with automation and machine learning techniques to improve financial data quality and reduce manual intervention.
  • Develop reusable AI / ML components for financial reporting tasks such as fraud detection signals, transaction pattern analysis, and reconciliation workflows.
  • Integrate financial reporting systems with generative AI tools (e.g., ChatGPT, LangChain) for query handling, report explanation, and natural language summaries.
  • Partner with data engineers to ensure robust financial data models, pipelines, and compliance with internal and regulatory standards.
  • Perform advanced troubleshooting, leveraging AI-assisted diagnostics to identify and resolve discrepancies in settlement and merchant data pipelines.
  • Stay up to date with AI and big data technologies, evaluating opportunities to bring innovation into financial reporting workflows.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or a related field.
  • 4+ years of experience in data engineering or reporting, with exposure to financial reporting and transaction data preferred.
  • Strong skills in SQL and Python, with experience in ETL orchestration tools (Airflow, dbt, Talend, or similar).
  • Hands‑on experience with AI / ML frameworks (TensorFlow, PyTorch, Scikit‑learn) and familiarity with LLMs and generative AI tools.
  • Experience integrating AI into financial or reporting workflows (e.g., anomaly detection, NLP‑driven reporting).
  • Proficiency with data visualization tools (Tableau, Power BI, QuickSight).
  • Familiarity with cloud platforms (AWS, GCP, Azure) and big data technologies (Spark, Presto, or Hadoop).
  • Solid understanding of financial transaction data, reconciliation processes, and settlement workflows.
  • Strong problem‑solving, documentation, and communication skills.
  • Nice to Have

  • Experience applying prompt engineering and embeddings for financial data analysis.
  • Knowledge of MLOps practices for deploying and monitoring AI‑driven reporting pipelines.
  • Exposure to fintech, payments, or e‑commerce reporting systems.
  • Pre‑Requisites / 任职要求

    Are you game?

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