ETL Data Engineer
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Sign up to see compensation estimateTotal Experience: 6-8 years
Required Skill Sets:
• Data Platform Architecture Design and implement scalable, secure, and efficient data platforms leveraging Databricks and Azure Cloud technologies.
• Technical Leadership Provide technical guidance and mentorship to data engineering teams, ensuring best practices and adherence to architectural standards.
• Requirement Analysis Collaborate with stakeholders to understand business needs and translate them into technical requirements, ensuring alignment with data platform capabilities.
• Data Pipeline Development Build and optimize data pipelines for ETLELT processes, data integration, and real-time data processing.
• Performance Optimization Monitor and optimize data platform performance, ensuring high availability, reliability, and scalability.
• Cloud Integration Leverage Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Storage) to enhance data platform functionality and integration"