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About the Role
Responsibilities
- Design and implement Databricks-based data architectures to meet business requirements.
- Develop and optimize data pipelines using PySpark, Scala, or SQL.
- Establish the Databricks Lakehouse architecture for batch and streaming data.
- Collaborate with cross-functional teams to integrate Databricks with cloud platforms (e.g., AWS, Azure, GCP).
- Ensure data security and compliance with best practices.
- Monitor and troubleshoot Databricks environments for performance and reliability.
- Collaborated with sales teams to support presales activities
- Supported presales activities, including solution design and customer discussions
- Stay updated on Databricks advancements and industry trends.
Key Technical Skills & Responsibilities
- 12+ years of experience in data engineering using Databricks or Apache Spark-based platforms.
- Proven track record ...
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