- Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:
BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.
Experience with other relevant GCP services like Cloud StorageCloud Dataflow/Beam or Pub/Sub
-Programming & Querying:
Python:Expert-level programming proficiency in Python including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
-Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer AirflowDagster or similar).
-DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes.
Soft Skills
- Excellent communication
- Team collaboration
- Documentation and knowledge sharing
Education Requirements
Bachelors/Masters in Computer Science or equivalent (can be marked optional or flexible)
Certifications
GCP Data Engineer
Domain - Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically: BigQuery: Expert-level skills in data ingestion performance optimization and data modeling...
Domain
- Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments with a strong preference for Google Cloud Platform (GCP) services specifically:
BigQuery: Expert-level skills in data ingestion performance optimization and data modeling within a petabyte-scale environment.
Experience with other relevant GCP services like Cloud StorageCloud Dataflow/Beam or Pub/Sub
-Programming & Querying:
Python:Expert-level programming proficiency in Python including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying data processing and performance tuning.
-Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g. Apache Airflow Cloud Composer AirflowDagster or similar).
-DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g. GitLab GitHub Actions) to automate deployment and testing processes.
Soft Skills
- Excellent communication
- Team collaboration
- Documentation and knowledge sharing
Education Requirements
Bachelors/Masters in Computer Science or equivalent (can be marked optional or flexible)
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Monthly Salary:
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