Job Description
Job Title : DATABRICKS Data Engineer (WALK-IN- 23-May Saturday)\nTotal IT Experience : 4-10yrs\nRelevant Experience Required\nHands-on experience in developing, maintaining, and optimizing data pipelines using Databricks .\nKnowledge of ETL/ELT pipelines, data ingestion, transformation, and orchestration .\nExposure to data lake, data warehouse, or lakehouse architectures .\nExperience with data migration, integration, and automation .\nCollaboration with senior engineers, architects, and analytics teams for solution delivery.\nFamiliarity with security, access control, and compliance best practices.\nWorking experience in Agile and DevOps environments .\n\nDatabricks Data Engineer, Spark, PySpark, Delta Lake, ETL, ELT, Data Pipeline, Python, SQL, Data Lake, Lakehouse, Data Warehouse, AWS, Azure, GCP, Airflow, CI/CD, Data Integration, Stream Processing, Batch Processing
