
Big Data Engineer
1 week ago
We're seeking a seasoned Big Data Engineer to design and build large-scale data platforms on Google Cloud.
Key Responsibilities:
- Design robust data pipelines for ingestion, transformation, and analytics
- Maintain expertise in GCP ecosystem (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 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 (optional)
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
- Strong communication and documentation skills
Benefits:
- Opportunity to work on enterprise-grade data solutions
- Collaborative and dynamic work environment
- Ongoing training and professional development
Join our team and contribute to the success of our clients by delivering innovative and scalable data solutions.
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