Responsibility:
61 Writing a system using Python that involves extensive computation, with the system being highly performance sensitive.
61 Requirement analysis and clarification.
61 Design, coding, testing and support ST/UAT.
61 Support core insurance system for AlA business units.
61 Complete assignment on schedule with good quality.
61 Work together with AlA members to meet overall project objects.
Requirements:
61 Bachelor's degree or higher in Statistics, Mathematics, Economics, Information Management, Computer Science, or Engineering
61 Deep understanding of Python frameworks and strong technical expertise.
61 Minimum 5 years of experience in data analysis or data science-related positions, with familiarity in the end-to-end processing workflow involving data acquisition, cleaning, aggregation, storage, modeling, deployment, and monitoring.
61 Proficient in data analysis techniques and experienced in handling complex analytical tasks, possessing comprehensive knowledge的 of large-scale data warehouse architecture design and model development; proficiency in performance tuning may be advantageous (considered a plus).
61 Proficiency in big data technology architectures or associated tools, such as Hadoop and Spark.
61 Expertise in data analysis tools and programming languages, e.g., Python and SQL.
61 Mastery of data visualization tools, including Alteryx and PowerBl.
61 Familiarity with databases and cloud computing platforms, such as AWS, Azure, and Databricks.