DevOps Solutions Engineer-

Santa Clara-Bay, Area | Direct

Post Date: 09/08/2017 Job ID: atc-406 Industry: Solutions Architect

DataOps (DevOps) Solutions Engineer

 

Responsibilities

 

1. Build new Docker images and infrastructure automation for Data science and big data applications




2. Integrate existing BI/ETL tools with the BigData/Cloud platform




3. Build end to end Data Science pipelines using BigData platform  to support customer use cases




4. Create pipelines including pre-processing, predictive model building, and deployment packages as ready to use analytic pipelines for commonly identified use cases




5. Managing REST APIs




6. Influence product direction to add competitive differentiators to support data scientists and data analysts




7. Participate in product evangelism by blogging, participating in webinars, speaking sessions, training, and open source contributions.




8. Verify new product releases with validation and testing




9. Review specifications and release docs




10. Provide training and workshop to users

 

 

 

Desired skills

 

Experience with BI/ETL applications

 

Experience in Docker and Cloud Orchestration.

 

Understanding of data management lifecycle

 

Experience with SQL, Python, R, and shell scripting

 

Knowledge of Hadoop, Spark, Kafka, Cassandra, Elasticsearch is a big plus

 

Understanding of Docker and Docker compose is preferable

 

Exposure to Data Science tools and techniques
 

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