- Design and develop scalable data pipelines using Databricks.
- Collaborate with cross-functional teams to identify and prioritize project requirements.
- Develop and maintain large-scale data architectures.
- Ensure data quality and integrity by implementing data validation and testing procedures.
- Optimize data processing workflows for performance and efficiency.
- Troubleshoot and resolve complex technical issues related to data engineering.
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📌 DE&A - Core - Cloud Data Engineer - Databricks (Pune)
🏢 Zensar
📍 Pune
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