Job Summary
Databricks Lead is a senior role and expectation is that the ideal candidate should have minimum 10+ years of development hands-on experience.
Key Skills & Qualifications:
- Databricks Expertise: Deep experience with the Databricks platform, including Spark, SQL, and data processing capabilities.
- Programming Languages: Proficiency in programming languages such as Python, Scala, or SQL.
- Cloud Platforms: Experience with cloud platforms like AWS or Azure, particularly in conjunction with Databricks services.
- Data Engineering Concepts: Strong understanding of data engineering principles, data architectures, and big data technologies.
- ETL & Data Pipelines: Expertise in building and optimizing data pipelines and ETL processes.
- Problem-Solving: Strong analytical and problem-solving skills to troubleshoot data-related issues and optimize complex data workflows.
- Experience: Extensive experience in data engineering and hands-on project work is crucial for this senior role.
