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Data Engineer
20000-30000元 北京 3年以上 本科
  • 全勤獎
  • 節(jié)日福利
  • 不加班
  • 周末雙休
卡特彼勒(中國)投資有限公司 最近更新 643人關(guān)注
職位描述
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Job Description
Role Definition

Employs data analytics to assess an organization's technical performance and makes system enhancement recommendations.



Responsibilities

61 Analyzing customer requirements based on the understanding of conformed models and catering solutions that are implementable and maintainable.

61 Discerning data accuracies in large sets of data of diverse formats

61 Researching, designing, and documenting data specifications at all points in the production life cycle.

61 Understanding software development and web technologies and having proficiency in SQL and other data programming languages.



Skill Descriptors

Value Realization: Knowledge of value realization methods; ability to plan, execute, monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.

Level Basic Understanding:

61 Describes the importance of Value Realization milestones for long-term projects.

61 Assists in measuring and attaining post-project implementation value.

61 Identifies process changes or business value integration in change initiative plans and activities.

61 Contributes to project team communication regarding the linkage of a change initiative to its associated business goals and case.



Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies, disciplines, practices and techniques for the delivery of new and enhanced applications.

Level Working Knowledge:

61 Explains a specific agile process and its associated checkpoints and deliverables.

61 Works with a specific agile development methodology.

61 Interprets metrics used to measure progress and effectiveness.

61 Defines key selection and qualifying criteria for projects suitable for agile development.

61 Applies major tools and techniques associated with the specific methodology.

Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organization's database that runs effectively and efficiently for better business outcome.

Level Working Knowledge:

61 Researches relationships between different business data sets.

61 Participates in the establishment of data structures based on their relationships.

61 Adheres to an organization's database design policies.

61 Utilizes database design tools and techniques.

61 Tests the effectiveness of the database before its release for business use.



ETL Process: Knowledge of the extraction, transformation and loading (ETL) process; ability to develop a database through the ETL process.

Level Working Knowledge:

61 Ensures the accuracy and effectiveness of data provided for the warehouse.

61 Loads selected data into the warehouse on a regular basis.

61 Derives necessary business or technical information from original data.

61 Acquires a large amount of data from different sources/systems.

61 Solves technical and administrative problems during the ETL process.



Information Management: Knowledge of an organization's existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources, and distribute this information to enhance operational efficiency.

Level Extensive Experience:

61 Directs the implementation of information processing and operation standards to protect and manage information assets.

61 Develops capabilities, features and uses for major IM platforms.

61 Coaches others on issues and considerations for managing structured vs. unstructured data.

61 Advises on improvement plans for existing and forecasted information architecture.

61 Consults on all major information management platforms and practices.

61 Consults on information architecture concepts, disciplines and practices.



Modeling: Data, Process, Events, Objects: Knowledge of data, process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data, processes or events.

Level Working Knowledge:

61 Defines common types of data, processes or event models.

61 Participates in model reviews and walkthroughs.

61 Explains existing models to clients and describes their associated business processes.

61 Focuses on modifying Data Structure, Access and Entity Relationship Diagrams.

61 Prepares reports to recap current findings and issues in data, processes or event models.
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工作地點
地址:北京卡特彼勒北京
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