Databricks Data Engineer

Job description

We are seeking skilled Databricks Data Engineers with 3-5 years of experience in building scalable data pipelines and big data solutions. The ideal candidate should have strong expertise in Databricks, PySpark, and data engineering concepts. **Responsibilities** - Design and develop data pipelines using Databricks and PySpark. - Build scalable ETL solutions for large datasets. - Work with Delta Lake and Spark SQL. - Integrate data from multiple sources into enterprise data platforms. - Optimize and monitor data processing workflows. - Collaborate with business and technical teams to deliver data solutions. **Required Skills** - Strong hands-on experience in Databricks. - Experience in PySpark and Spark SQL. - Knowledge of ETL and Data Warehousing concepts. - Experience with Azure Data Factory. - Strong SQL skills. - Good understanding of Data Engineering best practices. **Preferred Skills** - Azure Cloud - Delta Lake - Data Lakes - DevOps exposure - Performance Optimization