Taller
Taller is an AI-powered company that specializes in delivering innovative solutions to transform businesses. With over 15 years of expertise, Taller focuses on custom engineering, automation, and AI-driven strategies that help clients increase efficiency, reduce costs, and improve overall performance. Their diverse service offerings include digital engineering, custom software development, and AI/ML implementations across various industries.
Agentic AI • AI-Powered Solutions • AI Systems Engineering • Consulting Services • Custom Software Development
Data Engineer - Databricks
4 days ago
Taller
Taller is an AI-powered company that specializes in delivering innovative solutions to transform businesses. With over 15 years of expertise, Taller focuses on custom engineering, automation, and AI-driven strategies that help clients increase efficiency, reduce costs, and improve overall performance. Their diverse service offerings include digital engineering, custom software development, and AI/ML implementations across various industries.
Agentic AI • AI-Powered Solutions • AI Systems Engineering • Consulting Services • Custom Software Development
📋 Description
• Set up, configure, and deploy a working Databricks environment in Azure, including provisioning resources, configuring compute clusters, managing security, access controls, authentication, and network security. • Integrate Databricks with data lakes, databases, and cloud storage, install necessary libraries, ML frameworks, and Python dependencies, and create notebooks and workflows for data processing, analytics, and machine learning. • Design and implement robust data pipelines for ingestion, transformation, and synchronization. • Work with Azure SQL Server, Azure Data Factory, and ADLSv2 to optimize data movement, leveraging PySpark and SQL to enhance data processing efficiency. • Evaluate and recommend emerging data technologies to enhance the data ecosystem. • Work closely with data engineers, analysts, and business stakeholders to align solutions with business objectives. • Develop and maintain comprehensive documentation and best practices.
🎯 Requirements
• Expert SQL (preferably with data warehouse experience) • Azure Databricks & PySpark : Proven experience with big data processing and analytics. • Azure Data Factory & Data Engineering Fundamentals. • Azure Data Lake (ADLSv2) : Experience with Parquet/Delta Tables. • Data Governance & Security : Strong knowledge of access control, compliance, and best practices in cloud environments. • Enterprise Data Integration : Experience working with MS Dynamics and Workday, ensuring seamless data ingestion and processing.
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