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Position: RTOI Data Engineer
Location: Open to Alpharetta GA or Menlo Park CA locations. (Hybrid Onsite 3 days in a week)
Duration: 12 Months Contract
RTOI Data Engineer:
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 a 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:
10 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
AWS or other cloud technologies
ElasticSearch ELK
Full Time