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Python developer
New York, NY
New York
NY
10286
Date
: Apr-20-20
2020-04-20
2021-04-20
Python developer
New York, NY
Apr-20-20
Work Authorization
US Citizen
GC
H1B
GC EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
DOE
Duration
:
1 year
Sp. Area
:
Java, J2EE, Java Full Stack
Sp. Skills
:
x-Other
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Kafka, Elasticsearch, ETL, JAVA, Machine learning, SQL
Preferred Skills
:
Spark
Domain
:
IT/Software, Insurance
Work Authorization
US Citizen
GC
GC EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
DOE
Duration
:
1 year
Sp. Area
:
Java, J2EE, Java Full Stack
Sp. Skills
:
x-Other
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Kafka, Elasticsearch, ETL, JAVA, Machine learning, SQL
Preferred Skills
:
Spark
Domain
:
IT/Software, Insurance
Dice Technologies Inc
Schaumburg, IL
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
* Minimum 9+ years of relevant IT experience is required.
* Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
* Create data pipelines to include ETL and streaming data such as log data or tool/sensor data to indexes. Experience with Splunk forwarders, ELK (Elasticsearch, Kafka, Logstash), Beats, or ES/Splunk python libraries preferred.
* Deep experience in stream processing, examples Spark, Flink, Kafka Streams, Kinesis Analytics
* Proficient in Scala, Java, and/or Python as well as SQL, and KSQL, Kafka
* Experience in key areas such as AWS, and Terraform (or similar) with deep familiarity with Lambda, S3, RDS, Aurora, and Athena
* Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
* Experience with Kubernetes and containerization to be able to support existing teams
* Ability to quickly analyze and comprehend new or unfamiliar technologies or ideas
* Experience in automation and the development of automation tools
* Ability to understand and work with distributed data systems
* Track record of interpreting requirements from Data Scientists and Machine Learning Engineers
* Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Client :
MG
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