Role & Responsibilities
- Design, develop, and maintain data pipelines using Databricks.
- Build ETL/ELT solutions for processing large datasets.
- Develop scalable data transformation workflows using PySpark and Spark SQL.
- Work with Delta Lake and cloud-based data platforms.
- Integrate data from multiple source systems.
- Optimize data processing performance and reliability.
- Collaborate with cross-functional teams to deliver business requirements.
Preferred Candidate Profile
- 2-5 years of experience in Data Engineering.
- Hands-on experience with Databricks and PySpark.
- Solid SQL and Spark SQL knowledge.
- Experience in ETL development and data integration.
- Exposure to Azure Data Factory and cloud environments.
- Strong analytical and problem-solving skills.
📌 Databricks Data Engineer (Noida)
🏢 Infosys
📍 Noida