<![CDATA[ATC Search: jobboards]]> http://JOBS.ATCSEARCH.COM/ en-us <![CDATA[Channel/Field Marketing Manager-EMEA-Amsterdam or London]]> Channel Marketing Manager- Amsterdam or London based

 

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Wed, 24 Jan 2018 00:00:00 PST To Succeed You will have a:

 


Track record of field marketing and partner marketing experience, ability to organize events for partners and generate leads, create more events for partners, launch emails campaigns /calls to energize partners to get more leads. Set up meetings, creat and manager events, improving partner interaction and revenue growth.

 
    • 5 or more of years experience in a partner marketing role
    • Outgoing personality who loves working with channel partners
    • Proven ability to plan, execute, and scale marketing campaigns
    • Understanding of performance metrics and measurement tools
  • Excellent planning and organizational skills
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<![CDATA[Big Data Delivery Consultant]]> Big Data Delivery Consultant-




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Wed, 27 Dec 2017 00:00:00 PST To Succeed You Must Have:




Deep understanding of the rich data sources and Big Data Applications from a variety of industries in order to define the appropriate analytics architecture to satisfy client needs. 

       



Ability to design BigData solutions and develop code, scripts, pipelines that leverage  structured and unstructured data integration from multiple sources.

              




Extensive hands-on experience in Big Data deployments and technologies (e.G. Docker containers, virtualization, Machine Learning, Deep Learning, Big Data Applications, Security, Access Controls, Network) as well as a proven track record working in consulting engagements  spanning from design to implementation in all phases of BigData projects.

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·       Collaboration with internal/external stakeholders, team play, problem solver is MUST for this role.







10 or more years of experience working in a Professional Services and/or Systems IntegrationOrganization.




5 or more years of experience consulting and delivering Big Data / Data Analytics projects




Good understanding of complete end-to-end DataWarehouse / Business intelligence / Data Analytics solutions.




Good experience in requirements gathering, data modeling (ER, Dimensional), logical/physical design, ETL technology, programming and performance tuning.




Extensive architecture and delivery hands-on experience in more than one of the following solutions:




o    Data Ingestion: Flume, Scoop, Kafka, Talend, Informatic

o    Data Storage: HDFS, HBase

o    Data Processing: M/R, Spark, Hive Server, Impala, Tez, Spark-SQL, H2O, TensorFlow, Intel BigDL, SAS VIya, MSR

o    Data User Tools: Hive, CLI, Spark-SQL, Jupyter, Zeppelin, Tableau, R-studio, Eclipse, Pentaho

o    Hadoop Platforms: Cloudera, Hortonworks, MapR

o    Security/Access Control: LDAP, Kerberos

·       Competent in Internet and related technologies - HTML, Perl/PHP, CGI scripting, Python, Java, Java script, Java servlets, XML, XSL, JSON aplus.




Ability to describe ideas in a concise manner. Use collaboration to drive to a final solution. 




Familiarity with working across multiple and virtual settings.




Masters/Bachelor in Computer Science, Information Management, Informatics or Engineering with experience in a related field with at least 3 years of experience in analytics domain. 




Knowledge and experience in Data Mining, Machine Learning, Statistics, Operations Research or related field would be an advantage.




Self-driven as well as ability to work in a team setting. Good communication, interpersonal and negotiation skills are essential.




·       Willing to travel up to 30% globally.



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<![CDATA[Big Data Consulting Architect-New York]]> BigData Consulting Architect-

 

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Wed, 27 Dec 2017 00:00:00 PST To Succeed You Must Have:
Deep understanding of the rich data sources and Big Data Applications from a variety of industries in order to define the appropriate analytics architecture to satisfy client needs. 
Ability to manage and oversee large-scale deployments to key customers globally. 

Extensive experience in Big Data deployments and technologies (e.G. Docker containers, virtualization, Machine Learning, Deep Learning, Big Data Applications, Security, Access Controls, Network) as well as a proven track record in managing and leading complex projects  
Collaboration with internal/external stakeholders, team play, problem solver is MUST for this role.




10 or more years of experience consulting, delivering and managing Big Data / Data Analytics projects working in a Professional Services or Systems Integration Organization.




Deep understanding of complete end-to-end DataWarehouse / Business intelligence / Data Analytics solutions.




Advanced experience in requirements gathering, data modeling (ER, Dimensional), logical/physical design, ETL technology, programming and performance tuning.




Extensive architecture and delivery hands-on experience in more than one of the following solutions:




Data Ingestion: Flume, Scoop, Kafka, Talend, Informatic




Data Storage: HDFS, HBase




Data Processing: M/R, Spark, Hive Server, Impala, Tez, Spark-SQL, H2O, TensorFlow, Intel BigDL, SAS VIya, MSR




Data User Tools: Hive, CLI, Spark-SQL, Jupyter, Zeppelin, Tableau, R-studio, Eclipse, Pentaho




Hadoop Platforms: Cloudera, Hortonworks, MapR




Security/Access Control: LDAP, Kerberos




Competent in Internet and related technologies - HTML, Perl/PHP, CGI scripting, Python, Java, Java script, Java servlets, XML, XSL, JSON aplus.




Ability to describe ideas in a concise manner. Use collaboration to drive to a final solution. Able to make commitments and followthrough.




Experience in leading cross-departmental virtual teams.  Familiarity with working across multiple and virtual settings.




Masters/Bachelor in Computer Science, Information Management, Informatics or Engineering with experience in a related field with at least 3 years of experience in analytics domain. 




Knowledge and experience in Data Mining, Machine Learning, Statistics, Operations Research or related field would be an advantage.




Self-driven as well as ability to work in a team setting. Good communication, interpersonal and negotiation skills are essential.




Willing to travel up to 30% globally.
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