DevOps Solutions Engineer-

Santa Clara-Bay, Area 95054

Posted: 09/08/2017 Employment Type: Direct Industry: Solutions Architect Job Number: atc-406

Job Description

DataOps (DevOps) Solutions Engineer




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




Job Requirements

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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