Solutions Architect

Confidential Company  •  Chicago, IL and 3 other locations

8 - 10 years experience  •  Manufacturing

$120K - $150K
Posted on 06/15/18 by Richa Clausens
Confidential Company
Chicago, IL
8 - 10 years experience
Manufacturing
$120K - $150K
Posted on 06/15/18 Richa Clausens

Technical Experience     

Experience with cloud platform technologies Microsoft Azure or AWS   

On premises Big Data platforms such as Cloudera, Hortonworks               

Big Data Analytic frameworks and query tools such as Spark, Storm, Hive, Impala             

Streaming data tools and techniques such as Kafka, AWS Kinesis, Azure Streaming Analytics       

ETL (Extract-Transform-Load) tools such as Pentaho or Talend or Informatica); also experience with ELT

Continuous delivery and deployment using Agile Methodologies.            

Data Warehouse and DataMart design and implementation       

NoSQL environments such as MongoDB, Cassandra        

Data modeling of relational and dimensional databases

Metadata management, data lineage, data governance, especially as related to Big Data              

Structured, Unstructured, Semi-Structured Data techniques and processes        

Machine Learning (R, Scala Python)        

               

Minimum Requirements             

Over 10 years of engineering and/or software development experience and demonstrable architectureexperience in a large organization.          

Experience should contain 5 years of experience of architecturesupport combined of these environments: data warehouse, data mart, business intelligence, and big data.         

5+ years of consulting experiencedesired           

Hands-on experience in Big Data Components/Frameworks such as Azure Cortana Analytics Suite, .Net, Hadoop, Spark, Storm, HBase, HDFS, Pig, Hive, Scala, Kafka, .Net, R, Python, PyScripts, Unix Shell scripts               

Experience in architecture and implementation of large and highly complex projects      

Deep understanding of cloud computing infrastructure and platforms   

History of working successfully with cross-functional engineering teams               

Demonstrated ability to communicate highly technical concepts in business terms and articulate business value of adopting Big Data technologies

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