Job ID :
20602
Company :
Internal Postings
Location :
CHANDLER, AZ
Type :
Contract
Duration :
Long Term
Salary :
DOE
Status :
Active
Openings :
1
Posted :
12 Feb 2019
Job Seekers, Please send resumes to resumes@hireitpeople.com

Job Seekers, Please send resumes to arun@hireitpeople.com or Call: (202) 719-0200 Ext: 107

Position                        : Big Data Architect (with Kafka)

Location                       : Chandler, AZ

Experience Level         : Minimum 10 years

Project Summary         : Architecture, Design and Proof of Concepts

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

 

Experience Level: Minimum 10 years