Senior Big Data Engineer

Senior Big Data Engineer

Shanghai China
8-11 years
Not Specified

Job Description

Job Description :
  • Build analytics solutions for consumer bank, including core banking, cards and wealth management businesses.
  • Develop analytics capabilities in the team, including statistics, machine learning, graph analytics, model performance monitoring and automation.
  • Plan and build data-driven banking ecosystem, including models for customer experience and marketing.
  • Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.

  • 8+ years of experience in data analytics and big data with enterprise data systems.
  • 3+ years of experience in building solutions with machine learning, graph analytics and other advance analytics techniques.
  • In depth knowledge of data pre-processing, feature engineering and modeling pipeline.
  • In depth knowledge of scalable model deployment, model performance monitoring stats and modelling pipeline automation.
  • Hands-on experience with Python/Pyspark and basic libraries for machine learning is required;
  • Proficiency with SQL language and able to construct high efficient SQL queries.
  • Hands-on experience with XGBoost, Tensorflow, scikit-learn, PySpark, Spark GraphX is preferred.
  • Experience in consumer banking or other financial services domains is preferred.
  • Comprehensive knowledge of the principles of software engineering and data analytics.

  • Bachelor’s/University degree or equivalent experience, potentially Masters degree

-------------------------------------------------Grade :All Job Level - All Job FunctionsAll Job Level - All Job Functions - CN
------------------------------------------------------Time Type :Full time
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