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Big Data Architect (with Kafka)
Chandler, AZ
Chandler
AZ
85286
Date
: Jan-07-19
2019-01-07
2019-02-06
Big Data Architect (with Kafka)
Chandler, AZ
Jan-07-19
Work Authorization
US Citizen
GC
H1B
L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
Long Term
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Big Data, Kafka, Proof of Concepts (PoC), API, RDBMS, Hadoop, ETL, NoSQL
Preferred Skills
:
Agile
Domain
:
IT/Software, Financial, Insurance
Work Authorization
US Citizen
GC
L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
Market
Duration
:
Long Term
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Big Data, Kafka, Proof of Concepts (PoC), API, RDBMS, Hadoop, ETL, NoSQL
Preferred Skills
:
Agile
Domain
:
IT/Software, Financial, Insurance
Hire IT People, LLC
Washington, DC
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position : Big Data Architect (with Kafka)
Location : Chandler, AZ
Experience Level : Minimum 10 years
Project Summary : Architecture, Design and Proof of Concepts
Responsibilities:
Architecture and design of large programs
Lead the team and take responsibility of overall deliverables
Analyze, Design, support SIT, UAT, PFIX
Create Proof of Concept/Technology as required
Technical Skills - In Detail
Good understanding of Data pipeline including Extraction, acquisition, transformation and visualization
Prior experience working with RBDMS and Big data distributions
Experience with requirements gathering, systems development, systems integration and designing/developing API
Experience with Linux and shell programming
Experience with frameworks like Anaconda and developing ETL using PySpark on any major Big Data distributions
Good understanding of XML processing using Python, Spark RDD and dataframes
Performance tuning, unit testing and integration testing
Excellent communication and articulation skills
Self-starter and ability to work in dynamic and agile environment
Experience of working with Hadoop ecosystem – MapReduce, Hive, HBase
Experience of working with at least one NoSQL database like C*, MongoDB, ElasticSearch
Experience of designing for scale with considerations like sharding.
Experience of various types of queries – structured, proximity, relevance and query DSL
Data modelling with various hierarchies – Nested, Parent-child and schema
Understanding of ES analyzers and their use Kafka
Experience in design Kafka topics, partitioning and topic hierarchies
Experience of various Kafka consumers and Kafka-SQL
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