Overview
On Site
53.56/hr - 60.35/hr
Full Time
Skills
Financial Services
Finance
Training
Military
Extract
Transform
Load
Big Data
Apache Hadoop
Apache Hive
PySpark
Python
Amazon Web Services
Storage
DaaS
Amazon S3
Data Modeling
Database Design
CA Workload Automation AE
Microsoft Power BI
Unix
Shell Scripting
Continuous Integration and Development
Google Cloud Platform
Google Cloud
Cloud Computing
Data Engineering
Evaluation
Regulatory Compliance
Collaboration
Software Engineering
Job Details
Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Big Data Engineer in Chandler, AZ (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 24 Months
Required Skills & Experience
What You Will Be Doing
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 24 Months
Required Skills & Experience
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
- Minimum 4 years of hand on experience with
- Building data pipeline using big-data 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
What You Will Be Doing
- Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale 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.
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.