The Senior Data Engineer will need to have strong hands-on experience in Azure Databricks, data pipeline development, and modern cloud-based data architecture. This individual will be responsible for developing and supporting scalable data solutions while partnering closely with senior stakeholders and technical teams to understand business needs and translate them into effective data designs.
Requirements
- 3-5+ years of hands-on experience working with Databricks experience is required
- Strong experience building and maintaining complex data pipelines
- Experience in integrating cloud data platforms with APIs and relational data sources
- Experience with CI/CD, DevOps practices, and release automation
- Advanced knowledge of Azure Databricks, including performance tuning and troubleshooting
- Understanding of modern data architecture concepts, including medallion architecture and dimensional modeling
- Familiarity with Databricks tools such as Unity Catalog, Delta Live Tables, and Delta Sharing
- Proficiency with SQL, Python, and PySpark
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