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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
Hadoop Hive Spark Python AWS Cloud Experience Engineer
(Jobs in Denver, CO)
 
Requirement id 96844
Job title Engineer
Job location in Denver, CO
Skills required Hadoop, Hive, Spark, Python AWS Cloud Experience
Open Date 23-Aug-2019
Close Date
Job type Contract
Duration 3 Months
Compensation DOE
Status requirement ---
Job interview type ---
Apply
   Email Recruiter: coolsoft
Job Description Engineer: Hadoop, Hive, Spark, Python AWS Cloud Experience

Candidate must be our W2 Employee

Notes :
-Candidates MUST be able to speak to what is on their resume. These interviews are a very technical deep dive into big data processing, ideally with Spark
-Interview process: 1 hour technical video call, followed by a 30 minute phone call with the manager
- Client would prefer candidates that are local, but open to those who will relocate for the role


Description:
NOTES FROM MANAGER:

· We are looking for Data/Machine Learning engineers at all levels to help us build a robust and scalable data platform to support AI/ML data pipelines, reporting and data analysis as our business scales.

· We use cloud native (AWS) cutting-edge technologies like Spark(EMR), Kinesis/Kafka Streaming, Graph(neo4j) , infrastructure as code(Terraform), CI/CD to deliver high-quality data solutions to analysts, data scientists, and partners.

· Were looking for an engineer that takes ownership in their work, has a strong focus on quality, and enjoys working in a collaborative environment.



· This is a part of their enterprise data engineering and analytics team

· Team is currently 8 people split between Denver and Plano, TX

· Will be responsible for assisting this team move to the Cloud (AWS)

· Working on extremely new technologies and would be a good opportunity for anyone interested in furthering their experience with cloud automation

· Experience with Python, Spark, and Hadoop is key

· AWS experience would be VERY nice to have



JOB DESCRIPTION

Job Description:

· Partner with data scientists, analytics engagement managers, and other data engineers to discover, collect, cleanse, and refine the data needed for analysis and modeling

· Analyze large datasets to extract actionable insights and inform experimental design and model development

· Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data

· Build models using basic statistical and machine learning techniques, partnering with data scientists for education and guidance
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 96844 while calling.
 
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