Overview
On Site
Contract - W2
Skills
Streaming
Systems Architecture
Extract
Transform
Load
Snow Flake Schema
Apache Hadoop
Testing
Communication
Collaboration
Application Development
Data Engineering
Apache Kafka
Writing
Linux
Python
Ruby
Java
C
C++
SQL
Database
Amazon Web Services
Cloud Computing
SANS
Change Management
Configuration Management
Content Management
Elasticsearch
Job Details
Local candidates are required, especially those who are available for in-person interviews.
Thanks for your support!
Role: Data Engineer
Hybrid 3 Days a Week Onsite in Open to Alpharetta, GA or Menlo Park, CA locations.
Please put at the top of the resume which location the candidate is being considered for. Must be local to either location as ONSITE INTERVIEW is must
Client : Morgan Stanley
We are looking for streaming, data engineer
- Understand distributed systems architecture, design and trade-off.
- Design and develop ETL pipelines with a wide range of technologies.
- We have built job frameworks to run large scale ETL pipelines with Kafka, ElasticSearch ELK, Snowflake, Hadoop.
- Able to work on full cycle of development including defining requirement, design, implementation, testing, deployment.
- Strong communication skills to collaborate with various teams.
- Able to learn new technologies and work independently.
Requirements
Requirements:
- 5 years of application development experience, at least 2 years data engineering with Kafka
- Working experience writing and running applications on Linux
- 5 years of coding experience with at least one of the languages: Python, Ruby, Java, C/C++, GO
- SQL and database experience
Optional:
- AWS or other cloud technologies
- ElasticSearch ELK
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.