
Cloud Data Engineer
3 days ago
We're seeking a seasoned data professional to develop enterprise-grade data solutions using modern data engineering tools and practices.
About the Role:
The ideal candidate will have 8+ years of experience in designing and building large-scale data platforms on Google Cloud (GCP).
Key Responsibilities:
- Design and build robust data pipelines for ingestion, transformation, and analytics.
- Strong experience in GCP ecosystem is mandatory.
- 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 (preferred) 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 (preferred).
- Adhere to software engineering best practices: testing, documentation, reviews.
- Interact efficiently with cross-functional teams—technical and non-technical.
Requirements:
- Minimum 8 years of data engineering experience.
- GCP experience is mandatory.
- Proven expertise with Databricks, Big Data stack, and workflow orchestration tools.
- Immediate availability.
- Comfortable working flexible shifts.
- Strong communication and documentation skills.
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