Databricks Data Engineer

You should have a minimum of 5 to 14 years of total IT experience with a strong technical background in tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS, among others. Your role will involve collaborating closely with business stakeholders to understand and fulfill data requirements effectively. Proficiency in utilizing Azure services and tools for data ingestion, egress, and transformation from various sources is essential. Your responsibilities will include delivering ETL/ELT solutions encompassing data extraction, transformation, cleansing, integration, and management. You should have hands-on experience in implementing batch and near real-time data ingestion pipelines. Working on an event-driven cloud platform for cloud services and applications, data integration, pipeline management, serverless infrastructure for data warehousing, and workflow orchestration using Azure Cloud Data Engineering components like Databricks and Synapse is crucial. Excellent written and verbal communication skills are necessary for effective interaction within the team and with stakeholders. It would be advantageous if you have proven experience working with large cross-functional teams and possess good communication skills. Familiarity with cloud migration methodologies, Azure DevOps, Github, and being an Azure Certified Data Engineer are desirable. Additionally, you should demonstrate the ability to independently lead customer calls, take ownership of tasks, and collaborate effectively with the team.,