Why this role stands out
This hybrid role offers fantastic growth potential within a reputable company, where you'll leverage your expertise in Google Cloud Platform and data pipelines to ensure system stability and drive continuous improvement. If you thrive on solving complex data challenges and possess strong SQL and Python skills, this is an excellent opportunity to advance your career. Apply now to join a dynamic team and make a significant impact!
Quick overview
Job description
Hello Everyone,
Hope you are doing good!!!!
My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.
Senior DataOps Product Support Engineer
Location : 646 S Flores St, San Antonio, TX 78204
Duration: Long term contract
Notes for DataOps Google Cloud Platform production support - Beeline Notes
Mandatory Areas
Must Have Skills
Skill 1 Google Cloud Platform (BigQuery, Cloud Composer, GCS, Dataproc) Yrs of Exp 5 years
Skill 2 SQL & Data Troubleshooting Yrs of Exp 3 -5
Skill 3 Python / Scripting & Automation Yrs of Exp 3-5
Skill 4 Data Pipelines & Orchestration (Cloud Composer / Apache Airflow)
Good To Have Skills
Skill 1 GitLab CI/CD / Terraform
Skill 2 Kafka / Confluent Cloud / Pub/Sub
Skill 3 Databricks / Tableau
Skill 4 Datadog / Monitoring & Observability
Mandatory if Applicable
Domain Experience (If any)
DataOps / Google Cloud Platform Data Platform / Production Support / Analytics Engineering
Must have Certifications
None specified. Google Cloud certifications are preferred, not mandatory.
We are seeking a highly motivated Senior DataOps Product Support Engineer to support and maintain mission-critical data platforms and analytics solutions hosted on Google Cloud Platform (Google Cloud Platform). The role is responsible for ensuring production stability, operational excellence, incident management, service reliability, and continuous improvement of enterprise data products.
The ideal candidate will have hands-on experience with cloud infrastructure, data warehousing, CI/CD processes, access management, and production support operations.
Mandatory Skills preferred: AWS IAM; CI/CD; BigQuery; Google Cloud Platform
Thanks & Regards,
Pavan Raikhelkar
LEAD TALENT ACQUISITION SPECIALIST
Direct Number:-
Fax :
Email:
Website:
(An E-verify Company)
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