Job Description :
Title: GCP Cloud Engineer
Location: Houston, TX
Position Fulltime
Rate: DOE
Start: Immediate

1. Architect, design, develop data pipelines on GCP platform technology stack (Spark (preferred Pyspark), Dataflow etc. )
2. Test and Implement data pipelines in automated manner on GCP Platform
3. Troubleshoot and experience in Performance tuning the GCP data Pipelines
4. Implement Ci/CD pipeline for data pipeline jobs
5. Automate regression testing on GCP using regression test data suite
6. Experience in developing data pipelines using Spark ( Scala / Spark/ Java) on DataProc, Cloud Dataflow ( Apache Beam), Cloud Composer etc.
7. Should possess working knowledge of Google Cloud storage systems (Objects, Files, RDBMS, NoSQL)
8. Experienced with On Premise System Migration to Cloud
9. Well versed with Cloud Security and IAM (Identity and Access Management)
10. GCP Knowledge of Stack driver (Monitoring, Logging, Debugging and Tracing on Google Cloud Platform)
11. Python programming, Apache Airflow or any schedular , automation testing frameworks etc.
12. Troubleshoot and performance tuning the data pipelines and optimize it for low compute usage
13. Perform unit testing and automate using GCP Platform tools
Interpersonal Skills
1. Well-developed analytical & problem-solving skills
2. Strong oral and written communication skills
3. Excellent leadership skills with ability lead and guide and groom the team
4. Excellent team player, able to work with virtual teams
5. Ability to learn quickly in a dynamic start-up environment
6. Able to talk to client directly and report to client/onsite
7. Flexibility to work on different Shifts and Stretch

Client : Mphasis


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