As a Senior Data Engineer, you will lead the development and optimization of data infrastructure using Databricks as a core platform. Your primary responsibility will be designing and implementing data pipelines that enable accurate, timely access to information across the organization.
Key Responsibilities
- Develop and manage ETL workflows to process large-scale datasets efficiently
- Collaborate with data analysts and scientists to understand requirements and deliver high-quality data models
- Ensure data integrity, security, and performance across cloud-based environments
- Optimize existing data architectures for scalability and reliability
- Support the deployment and monitoring of data solutions in production
Qualifications
Candidates should have a strong background in data engineering with hands-on experience in Databricks and related technologies. Proficiency in SQL, Python, and cloud platforms is essential. Prior experience working in distributed data systems and agile environments is highly valued.
