Job Description :
Big Data Technical Architect
Minneapolis, MN

TECHNICAL SKILLS
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NOTE: In the "Decreasing" order of "Relevance" (most relevant at the top)

1) Proven experience in developing Analytics solutions for Business Problems.
e.g. Recommendation Systems, Similarity Models, 360 degree view of Customer, Predictive Maintenance of Assets,
Twitter Social Data Analysis (or) at least some similar Business problem
//One common Pitfall are resumes only with "Twitter sentiment processing" as the only analytics project.
//Such resumes can be filtered out unless something exceptional stands out.

2) Experience in Big Data Technologies (especially around Data Ingestion and Preparation for Analytics)
e.g. NiFi based Data Ingestion, Hive based Transformations, Zeppelin based explorations
is "DEFINITE" advantage

3) Experience with Deep learning Toolkits like TensorFlow, Keras, Caffe2 (or) Theano is a "DEFINITE" Plus.

4) Experience with Python, Zeppelin is "DEFINITE" plus

5) Experience in applications of Deep Learning for "Image Processing" is desirable.
e.g. Applying Deep learning models to identify objects in Images

6) Any further development experience in Big Data is desirable
e.g. Real-time processing using Kafka and Storm, Spark and Scala based Data Processing, Spark Streaming, Elastic Search

7) Any experience with Hadoop Administration & Management is desirable.

8) Any experience with Graph processing like Neo4J is desirable

SOFT SKILLS
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1) Experience working in a multi-cultural plural team is a definite PLUS

RESPONSIBILITIES
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1) Discuss with Business Stakeholders and come up with Analytic Strategies for Business Problems

2) Estimate cost & effort for Analytics projects

3) Understand Customer Business, Data Management Practices and Identify the right datasets to use for Analytics projects.

4) Lead & Develop Analytics projects that demonstrate clear Business value to the Stakeholders

5) Work like a Bridge between Customer and the Tavant team
             

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