Databricks Data Engineer

As an experienced Data Engineer with 6 to 8 years of IT experience, you will be responsible for utilizing your in-depth technical knowledge of tools such as Azure Data Factory, Databricks, Azure Synapse, SQL DB, and ADLS. Your key responsibilities will include collaborating with business stakeholders to identify and fulfill data requirements, using Azure services and tools for data ingestion, egress, and transformation from multiple sources, and delivering ETL/ELT solutions including data extraction, transformation, cleansing, integration, and management. Additionally, you will implement batch and near real-time data ingestion pipelines and work on event-driven cloud platforms for cloud services and apps, data integration, data warehouse running on serverless infrastructure, and workflow orchestration using Azure Cloud Data Engineering components like Databricks and Synapse. Qualifications Required: - 6 to 8 years of total IT experience - In-depth technical knowledge of tools like Azure Data Factory, Databricks, Azure Synapse, SQL DB, ADLS, etc. - Experience in collaborating with business stakeholders to identify and meet data requirements - Experience in using Azure services and tools to ingest, egress, and transform data from multiple sources - Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration, and data management - Implemented batch & near real-time data ingestion pipelines - Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc. Good to Have: - Proven ability to work with large cross-functional teams with good communication skills - Experience on Cloud migration methodologies and processes - Azure Certified Data Engineer - Exposure to Azure DevOps and Github - Ability to drive customer calls independently - Ability to take ownership and work with a team,