
Chief Data Platform Architect
5 days ago
We're seeking an experienced senior data engineer to design and build large-scale data platforms on Google Cloud.
Key Responsibilities:- Design robust data pipelines for ingestion, transformation, and analytics
- Mandatory strong experience in GCP ecosystem
- Work with Big Data tools: Hadoop, Spark, Kafka
- Hands-on experience in Databricks (Unity Catalog, Workflow, Performance Tuning)
- Build scalable workflows using Airflow, Tivoli, etc.
- Write transformation logic using DBT or similar tools
- Programming/scripting with Python, Java, Scala, or similar languages
- Work on Linux systems and use Git-based tools for version control and CI/CD
- Set up and manage containers using Docker / Kubernetes
- Implement data-as-a-service APIs
- Adhere to software engineering best practices: testing, documentation, reviews
- Minimum 8 years of data engineering experience
- GCP experience is mandatory
- Proven expertise with Databricks, Big Data stack, and workflow orchestration tools
- Immediate availability
- Strong communication and documentation skills
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