
Senior Backend Data Architect
5 days ago
As a skilled Data Engineer, you will design and develop data warehouses and pipelines using modern technologies.
Key Responsibilities:
- Design high-quality data warehouses and pipelines.
- Architect workflow management systems using Airflow.
- Implement containerization and orchestration technologies like Docker and Kubernetes.
- Develop Spark applications.
- Ensure data quality and integrity with robust validation and testing frameworks.
- Collaborate with teams to identify business needs and design solutions.
Requirements:
- 8+ years of software development experience in backend and data engineering.
- 5 years of hands-on experience in Python, JVM, and Shell Scripting with production experience.
- 3 years of proven experience in building cloud-native data-intensive applications on AWS, Google Cloud Platform (GCP) experience is a plus.
- Familiarity with containerization and orchestration technologies like Docker, Kubernetes, and Terraform.
- Hands-on experience in building and maintaining Spark applications.
- Strong understanding of Parquet, Delta Lake, and other open-source file formats.
What We Offer:
- A dynamic and supportive team environment.
- The opportunity to work on cutting-edge projects and technologies.
- A competitive salary and benefits package.
How to Apply:
- Submit your resume and cover letter through our website.
- We will review your application and contact you for an interview.
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