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Big Data Engineer
Cranberry Twp, PA
Cranberry Twp
PA
16066
Date
: May-20-19
2019-05-20
2020-05-19
Big Data Engineer
Cranberry Twp, PA
May-20-19
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
DOE
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Big Data, DevOps, ETL, Hadoop, Real time
Preferred Skills
:
Domain
:
IT/Software, Financial, HealthCare, Retail, Insurance, Manufacturing
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
DOE
Duration
:
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
FULL_TIME
Direct Client Requirement
Required Skills
:
Big Data, DevOps, ETL, Hadoop, Real time
Preferred Skills
:
Domain
:
IT/Software, Financial, HealthCare, Retail, Insurance, Manufacturing
Competent Systems
Alpharetta, GA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Big Data Engineer
Cranberry Township, PA
Fulltime
Required Skills and Knowledge:
Expert knowledge of data architectures, data pipelines, real time processing, streaming, networking, and security
Proficient understanding of distributed computing principles
Advanced knowledge of Big Data querying tools, such as Pig or Hive
Expert understanding of Lambda Architecture, along with its advantages and drawbacks
Proficiency with MapReduce, HDFS
Experience with integration of data from multiple data sources and multiple data types
Basic Qualifications:
Bachelor s Degree in Software Engineer
12+ years experience in software engineering with 2+ years using public cloud
6+ Experience developing ETL processing flows using MapReduce technologies like Spark and Hadoop
4+ years experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN
4+ years experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
2+ years experience with spark structured streaming
4+ years experience with various messaging systems
2+ years experience with Kafka
1+ years of DevOps experience
1+ years benchmarking experience
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