Databricks

In this role as a Databricks Data Engineer, you will have the opportunity to make a meaningful impact while thriving in a culture of inclusion, collaboration, and high performance. **Key Responsibilities:** - Design, develop, and optimize data workflows and notebooks using Databricks to ingest, transform, and load data from various sources into the data lake - Build and maintain scalable and efficient data processing workflows using Spark (PySpark or Spark SQL) by following coding standards and best practices - Collaborate with technical and business stakeholders to understand data requirements and translate them into technical solutions - Develop data models and schemas to support reporting and analytics needs - Ensure data quality, integrity, and security by implementing appropriate checks and controls - Monitor and optimize data processing performance, identifying and resolving bottlenecks - Stay up to date with the latest advancements in data engineering and Databricks technologies **Qualifications:** - Bachelor's or master's degree in any field - 2-6 years of experience in designing, implementing, and maintaining data solutions on Databricks - Experience with at least one of the popular cloud platforms - Azure, AWS, or GCP - Experience with ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes - Knowledge of data warehousing and data modeling concepts - Experience with Python or SQL - Experience with Delta Lake - Understanding of DevOps principles and practices - Excellent problem-solving and troubleshooting skills - Strong communication and teamwork skills You will be working with one of the Big 4's in India, enjoying a healthy work environment and work-life balance.,