• Data Architect Jobs in United States Of America

  • Xerox India Ltd
  • United States Of America, Usa

Job Description:

Data exploration, mathematical/ statistical modelling, data analysis, and hypothesis testing
Design, development, and deployment of Predictive models and frameworks
Develop custom data models and algorithms to apply to data sets
Use predictive modelling to increase and optimize customer experiences, revenue generations, and other business outcomes
Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
Communicate important information and insights to business and IT leaders
Make recommendations to adapt existing business strategies
Candidate must have worked as one or more role eg Data architect, Data modeler, Data integration developer/architect, ETL developer/architect
Minimum of 3 plus year of hands-on experience in designing and implementing logical and physical Enterprise Data model, Datawarehouse and Datamart in cloud big data environment
Excellent communication skills and business acumen to identify and articulate the business insights from data, process gaps and remediation to business executives and leaders
Strong SQL and Python knowledge to prep massive data amount of data and explore to answer business questions
Minimum five years of experience in data warehousing, business intelligence and reporting environment and out of which at least two years in cloud
Should be proficient in using data modeling tools such as ERWIN to design conceptual, logical and physical models in MDM and Data warehousing environment
Developer deeper knowledge on enterprise data assets and its relations to provide guidance to data developers, business analysts and data scientist
Hands on experience in designing data as a service using REST APIs
Experience in setting up data catalog tools, process and governance to manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts and other enterprise data assets
Strong SQL and Python knowledge to prep massive data amount of data and explore to answer business questions
Minimum five years of experience in data warehousing, business intelligence and reporting environment and out of which at least two years in cloud
Should be proficient in using data modeling tools such as ERWIN to design conceptual, logical and physical models in MDM and Data warehousing environment
Developer deeper knowledge on enterprise data assets and its relations to provide guidance to data developers, business analysts and data scientist
Hands on experience in designing data as a service using REST APIs
Experience in setting up data catalog tools, process and governance to manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts and other enterprise data assets
Experience using statistical computer languages (SLQ etc) to manipulate data and draw insights from large data sets
Knowledge of variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real world advantages / drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc)And experience with applications
Min Excellent written and verbal communication skills for coordinating across teams
Min Expertise in Observation skills, Critical thinking, Innovative thinking, predicting trends and identifying patterns
Min Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modeling
Min Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques

Qualifications

Candidate Background

Candidate must have worked as one or more role eg Data architect, Data modeler, Data integration developer/architect, ETL developer/architect
Minimum of 3 plus year of hands-on experience in designing and implementing logical and physical Enterprise Data model, Datawarehouse and Datamart in cloud big data environment
Excellent communication skills and business acumen to identify and articulate the business insights from data, process gaps and remediation to business executives and leaders
Strong SQL and Python knowledge to prep massive data amount of data and explore to answer business questions
Minimum five years of experience in data warehousing, business intelligence and reporting environment and out of which at least two years in cloud
Should be proficient in using data modeling tools such as ERWIN to design conceptual, logical and physical models in MDM and Data warehousing environment
Developer deeper knowledge on enterprise data assets and its relations to provide guidance to data developers, business analysts and data scientist
Hands on experience in designing data as a service using REST APIs
Experience in setting up data catalog tools, process and governance to manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts and other enterprise data assets
Strong SQL and Python knowledge to prep massive data amount of data and explore to answer business questions
Minimum five years of experience in data warehousing, business intelligence and reporting environment and out of which at least two years in cloud
Should be proficient in using data modeling tools such as ERWIN to design conceptual, logical and physical models in MDM and Data warehousing environment
Developer deeper knowledge on enterprise data assets and its relations to provide guidance to data developers, business analysts and data scientist
Hands on experience in designing data as a service using REST APIs
Experience in setting up data catalog tools, process and governance to manage metadata, semantic master data on data domains such as products, pricing, parts, customers, contacts, contracts and other enterprise data assets
Experience using statistical computer languages (SLQ etc) to manipulate data and draw insights from large data sets
Knowledge of variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real world advantages / drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc)And experience with applications
Min Excellent written and verbal communication skills for coordinating across teams
Min Expertise in Observation skills, Critical thinking, Innovative thinking, predicting trends and identifying patterns
Min Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modeling
Min Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need
Excellent written and verbal communication skills for coordinating across teams
A drive to learn and master new technologies and techniques
The right candidate will also be proficient and experienced with the following tools/programs
Strong programming skills with querying languages SLQ, SAS, etc
Experience with Could architecture Azure, AWS
Experience with distributed data/computing tools Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
Experience with testing tools such as Adobe Test & Target
Experience with data visualization tools Tableau, Raw, chartjs, etc
Experience with Adobe Analytics and other analytics tools
C, C , JAVA, Java Script or other programming languages

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Consumer Durables/FMCG, Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 19th Feb 2020

Key Skills:

Company Profile:

Company
Xerox India Ltdarfix

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