3+ years of support experience with GCP with emphasis on troubleshooting.
Strong understanding of Google services, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, GCS, monitoring, logging, VPC concepts, and networking.
Proficiency in interpreting code written in Python, R, and Java.
Experience with containerization technologies (Docker).
Hands-on experience with automation tools like Git, GitHub Actions, and PySpark.
Familiarity with GCP Console and command-line tools.
Strong analytical and problem-solving abilities.
Excellent communication skills and ability to respond effectively to client users' queries.
Experience taking ownership of complex technical issues from identification to resolution.
Self-motivated learner with the ability to quickly adapt to new technologies.
Recommended:
Associate Cloud Engineer Certification.
Professional Data Engineer Certification.
Experience with 3rd party tools commonly used in data platforms like Colibra.
Understanding of Microsoft Identity Manager (MIM) for permission-related troubleshooting.
Experience with automation of environment setup through Infrastructure as Code (IaC).
Ability to work in a fast-paced consulting environment and under pressure.
Strong collaboration skills and ability to work with minimal supervision at client sites