Overview
On Site
USD 55.00 - 60.00 per hour
Full Time
Skills
Evaluation
Regulatory Compliance
Collaboration
Software Engineering
Military
Extract
Transform
Load
Big Data
PySpark
Amazon Web Services
Storage
DaaS
Amazon S3
Data Modeling
Microsoft Power BI
Unix
Shell Scripting
Continuous Integration and Development
Google Cloud
Google Cloud Platform
Accountability
CA Workload Automation AE
Apache Spark
Python
Apache Hadoop
Apache Hive
Database Design
MySQL
Database
Cloud Computing
Data Engineering
Training
Job Details
Data Engineer
Chandler, AZ
24-month contract with possible conversion to FTE
job id- 169399
Job Description:
- Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to largescale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
- Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
- Collaborate with client personnel in Software Engineering.
- 4 plus years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Building data pipeline using bigdata stack (Hadoop, Hive, pySpark, python)
- Amazon AWS S3 - Object storage, security, data service integration with S3
- Data modelling and database design.
- Job Scheduler - Autosys
- PowerBI, Dremio
- Unix/shell scripting, CICD pipeline
- Exposure in Google Cloud Platform cloud data engineering is a plus.
- The contractors need to be proactive, they can't wait to be told what to do
- Must be accountable along with the technical skills
- The tech stack mentioned, these are the technologies being used to build data pipelines
- They need to model, design the data, build pipelines, applying logic to the data to transform the data and troubleshoot.
- They should have strong understanding and implementation of Autosys
- Ability to automate using spark, Python, Hadoop/Hive
- Should have a fundamental background in database design (MySQL or any standard database)
- Exposure to Cloud data engineering is a big plus, not required
Pay Range: $55 - $60/hr. on W2
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.