- Design, build, and maintain scalable data pipelines on Google Cloud Platform.
- Develop and optimize ETL/ELT workflows for processing structured and unstructured data.
- Implement data integration solutions using GCP services such as Dataflow, Dataproc, Pub/Sub, Cloud Composer, and BigQuery.
- Design and maintain data warehouses and data lakes.
- Ensure data quality, security, governance, and compliance standards.
- Monitor, troubleshoot, and optimize data processing jobs and workflows.
- Collaborate with business stakeholders, data scientists, analysts, and application teams.
- Implement CI/CD and DevOps practices for data engineering solutions.
- Perform performance tuning and cost optimization of GCP resources.
- Create technical documentation and best practices.
Desired Skills
Digital : Google Cloud | CloudOps for Google Cloud
Desired Candidate Profile
Qualifications : Undergraduate
