Description:
- Hybrid 3 Days a Week Onsite
- 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
- 2 roles total to fill.
- Real-time operation intelligence team in Morgan Stanley Enterprise Computing is responsible to stream terabytes of data daily.
- We have built job frameworks to run large scale ETL pipelines with Kafka, ElasticSearch ELK, Snowflake, Hadoop.
- Our applications run both on-perm and on the cloud. There are hundreds of dashboards built for business and operations to provide insight and actionable items at real-time.
- 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.
- 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:
- 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