About
Core Competencies
Hands‑on experience with SQL, Python, Google Cloud Platform (BigQuery, Cloud Composer, GCS, Cloud Functions, Vertex AI)
Advanced BigQuery skills: dataset design, partitioning/clustering, materialized views, cost optimization
Orchestration with Cloud Composer (Apache Airflow); building DAGs, operators, retries, and dependency management
Building Vertex AI Pipelines for ML workflows and large‑scale data transformation
Strong Python proficiency for data transformation, pipeline logic, custom tasks, and automation
Design of layered data architectures (Medallion, star schema, Data Vault, targeted denormalization) with reusable, canonical models
Tableau dashboard development: data source configuration, extract optimization, interactive visual design, performance tuning, publishing workflows
Technical Stack
Cloud Platform: Google Cloud Platform
Data Warehouse: BigQuery
Orchestration: Cloud Composer / Apache Airflow
ML Pipelines: Vertex AI Pipelines
Visualization: Tableau Desktop, Server/Cloud
Languages: Python (advanced), SQL (advanced)
Infrastructure as Code: Terraform (preferred)
Storage: GCS, Cloud Functions
Version Control: Git / GitLab
Experience & Qualifications
5+ years in a data engineering role with substantial Google Cloud / BigQuery experience
Advanced proficiency in Python and SQL used daily
Demonstrated design and maintenance of shared, reusable data models in enterprise or multi‑team settings
Familiarity with Medallion, star schema, and Data Vault patterns
Portfolio or examples of Tableau dashboards built on well‑structured data layers
Experience with CI/CD practices for data pipelines and infrastructure‑as‑code concepts
Strong communicator, able to collaborate across cross‑functional teams and translate requirements into scalable solutions
For applications and inquiries, contact: hirings@openkyber.com
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Languages
- English
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