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Data Architect
ManpowerGroup • Remote • Posted 30+ days ago
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Remote • Full-time • Contract • Senior Level
Job Highlights
Using AI ⚡ to summarize the original job post
The Data Architect role at ManpowerGroup involves translating business requirements into MongoDB database/collections, ensuring data accuracy and accessibility, analyzing and defining data architecture framework, creating and implementing data management processes, and collaborating with other teams to devise and implement data strategies. This position is 100% remote and requires proficiency in coding languages like Python and JavaScript, data mining, data management, and machine learning.
Responsibilities
- Translating business requirements into MongoDB database/collections
- Creating procedures to ensure data accuracy and accessibility
- Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data
- Creating and implementing data management processes and procedures
- Collaborating with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals
- Researching data acquisition opportunities
- Data mining to uncover patterns, anomalies, and correlations in large data sets
- Data management to efficiently and cost-effectively collect, store, and use data
- Coding languages like Python and JavaScript to develop applications for data analysis
- Machine learning to build scalable systems for handling big data
- Structured query language (SQL) to manipulate data
- Data modeling tools like ERWin or Hackolade to visualize metadata and database schemas for NoSQL
Qualifications
Required
- Proficiency in coding languages like Python and JavaScript
- Experience in data mining
- Knowledge of data management
- Understanding of machine learning
- Familiarity with structured query language (SQL)
- Experience with data modeling tools like ERWin or Hackolade
Full Job Description
Position: Data Architect
100% REMOTE Contract
+ Translating business requirements into MongoDB database/collections
+ Creating procedures to ensure data accuracy and accessibility
+ Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data
+ Creating and implementing data management processes and procedures
+ Collaborating with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals
+ Researching data acquisition opportunities
+ Data mining to uncover patterns, anomalies, and correlations in large data sets
+ Data management to efficiently and cost-effectively collect, store, and use data
+ Coding languages like Python and JavaScript to develop applications for data analysis
+ Machine learning to build scalable systems for handling big data
+ Structured query language (SQL) to manipulate data
+ Data modeling tools like ERWin or Hackolade to visualize metadata and database schemas for NoSQL
Technologies:
FarmStack (FAST API, ReAct, JavaScript and Mongo DB) and NoSQL
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
100% REMOTE Contract
+ Translating business requirements into MongoDB database/collections
+ Creating procedures to ensure data accuracy and accessibility
+ Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data
+ Creating and implementing data management processes and procedures
+ Collaborating with other teams within the organization to devise and implement data strategies, build models, and assess shareholder needs and goals
+ Researching data acquisition opportunities
+ Data mining to uncover patterns, anomalies, and correlations in large data sets
+ Data management to efficiently and cost-effectively collect, store, and use data
+ Coding languages like Python and JavaScript to develop applications for data analysis
+ Machine learning to build scalable systems for handling big data
+ Structured query language (SQL) to manipulate data
+ Data modeling tools like ERWin or Hackolade to visualize metadata and database schemas for NoSQL
Technologies:
FarmStack (FAST API, ReAct, JavaScript and Mongo DB) and NoSQL
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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