Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Skills
GCP
Google cloud platform
BigQuery
Bigtable
Firestore
Cloud Storage
Dataflow
DataProc
Pub/Sub
Cloud Composer
DataPrep
Vertex AI
Generative AI
CI/CD
GitHub
Terraform
stakeholder management
Devops
Databricks
Job Details
Job Title : Senior Lead Google Cloud Platform DevOps Data Engineer Location: Remote Duration: Long Term
About US
At Vilwaa (), we are focused towards delivering IT services and solutions in Data Engineering, Cloud Infrastructure solutions , Digital Application Development, (IoT) - Internet of Things.
Job Description
We are seeking a highly experienced Senior Lead Google Cloud Platform DevOps Data Engineer to lead the design, deployment, and optimization of data infrastructure on Google Cloud Platform (Google Cloud Platform). This role involves building scalable data pipelines, enabling CI/CD automation, and supporting advanced DataOps and MLOps practices, including GenAI integrations.
Key Responsibilities:
About US
At Vilwaa (), we are focused towards delivering IT services and solutions in Data Engineering, Cloud Infrastructure solutions , Digital Application Development, (IoT) - Internet of Things.
Job Description
We are seeking a highly experienced Senior Lead Google Cloud Platform DevOps Data Engineer to lead the design, deployment, and optimization of data infrastructure on Google Cloud Platform (Google Cloud Platform). This role involves building scalable data pipelines, enabling CI/CD automation, and supporting advanced DataOps and MLOps practices, including GenAI integrations.
Key Responsibilities:
- Architect, develop, and manage Google Cloud Platform data solutions using BigQuery, Bigtable, Firestore, Dataflow, DataProc, and Cloud Storage.
- Implement and maintain CI/CD pipelines using GitHub Actions and Terraform for infrastructure automation.
- Enable real-time and batch data processing with Pub/Sub, Dataflow, and Cloud Composer.
- Collaborate with ML teams to support MLOps using Vertex AI and Generative AI tools.
- Lead DataOps initiatives ensuring high availability, scalability, and data quality across platforms.
- Provide technical leadership and mentorship to DevOps and data engineering teams.
- Effectively communicate with stakeholders and manage multiple concurrent projects.
- Google Cloud Platform: BigQuery, Bigtable, Firestore, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, DataPrep
- DataOps & MLOps: Vertex AI, Generative AI, CI/CD (GitHub), Terraform
- Languages: Python, Java, SQL
- Excellent communication and stakeholder management skills
- Proven leadership in project delivery and cross-functional collaboration
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.