
Advanced Data Architect – Google Cloud
4 days ago
We are looking for a seasoned data professional to spearhead the design and development of large-scale data platforms on Google Cloud.
Key Responsibilities:
- Design and build robust data pipelines for ingestion, transformation, and analytics
- Mandatory experience in GCP ecosystem with strong knowledge of Big Data tools: Hadoop, Spark, Kafka
- Hands-on expertise in Databricks (Unity Catalog, Workflow, Performance Tuning) and scalable workflows using Airflow, Tivoli, etc.
- Transformation logic using DBT (preferred) or similar tools
- Programming/scripting with Python, Java, Scala, or similar languages
- Linux systems proficiency and Git-based tools for version control and CI/CD
- Container setup and management using Docker / Kubernetes
- Data-as-a-service APIs implementation (preferred)
- Adherence to software engineering best practices: testing, documentation, reviews
Requirements:
- Minimum 8 years of data engineering experience with mandatory GCP experience
- Proven expertise with Databricks, Big Data stack, and workflow orchestration tools
- Immediate availability with flexible notice period
- Strong communication and documentation skills
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