Key Responsibilities: • Assist in developing and maintaining data pipelines using Databricks. • Work with Python, SQL, and PySpark for data processing and transformation. • Support data ingestion, cleansing, validation, and integration activities. • Learn and work with Apache Spark concepts for distributed data processing. • Assist in implementing ETL/ELT workflows to process structured and unstructured data. • Work with Delta Lake and understand its role in reliable data storage and processing. • Perform data quality checks and troubleshoot basic data processing issues. • Support the development, testing, and documentation of data engineering solutions. • Collaborate with team members to optimize data processing workflows. • Learn cloud-based data engineering concepts and follow established coding standards and best practices.