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Big Data Engineer
Raleigh, NC
Raleigh
NC
27699
Date
: Oct-24-18
2018-10-24
2019-10-24
Big Data Engineer
Raleigh, NC
Oct-24-18
Work Authorization
US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
Consulting / Contract
H1B OK
Third Party OK
FULL_TIME, CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Hive, Spark, AWS
Preferred Skills
:
Kafka, Java, scala
Domain
:
IT/Software, Manufacturing
Work Authorization
US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
Market
Duration
:
12 Months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Permanent Direct Hire
Consulting / Contract
H1B OK
Third Party OK
FULL_TIME, CONTRACTOR
Direct Client Requirement
Required Skills
:
Hadoop, Hive, Spark, AWS
Preferred Skills
:
Kafka, Java, scala
Domain
:
IT/Software, Manufacturing
Impetus Technologies
Los Gatos, CA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
5+ years of experience owning and building data pipelines.
Extensive knowledge of data engineering tools, technologies and approaches
Ability to absorb business problems and understand how to service required data needs
Design and operation of robust distributed systems
Proven experience building data platforms from scratch for data consumption across a wide variety of use cases (e.g data science, ML, scalability etc)
Demonstrated ability to build complex, scalable systems with high quality Experience with specific AWS technologies (such as S3, Redshift, EMR, and Kinesis)
Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and Columnar databases. a plus Experience in one or more of Java, Scala, python and bash.
Expected Outcomes:
Design and implement data infrastructure and processing workflows required to build a data lake in AWS to support data science, machine learning, BI and reporting also in AWS Build robust, efficient and reliable data pipelines consisting of diverse data sources
Design and develop real time streaming and batch processing pipeline solutions
Own the data expertise and data quality for the pipelines
Drive the collection of new data and refinement of existing data sources
Identify shared data needs across client''sarea, understand their specific requirements, and build efficient and scalable pipelines to meet various needs
Build data stores for feature variables required for machine learning
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