AI developer for building agents on Databricks data

Job Responsibilities and Qualifications for Databricks Architect: 8+ years of overall Data Engineering experience. 3+ years of hands-on experience with Databricks. Strong expertise in Apache Spark and PySpark. Advanced SQL programming skills. Experience implementing Delta Lake and Lakehouse architecture. Strong understanding of data warehousing concepts and dimensional modeling. Experience with batch and real-time data processing. Hands-on experience with cloud platforms such as AWS, Azure, or G

Title: Databricks Engineer - Remote Mandatory skills: operating solutions, Databricks, ETL, ELT architectures, data ingestion patterns, Python, Spark, data processing, dimensional data models, data lakehouse, AI-driven analytics platforms, semantic modeling, NLP techniques, data governance, data security, data-driven solutions, data technologies, data models data structures, data pipelines, data quality, SAFe Agile, reliable analytics solutions, SQL queries, notebooks, data ingestion, transforma

Hi All, We are looking for Azure Databricks Developer if you are interested share your resume with contact details Title: Azure Databricks Developer Location: Remote Hiring Mode: Contract Azure Pipelines: Intermediate Databricks: Intermediate Oracle: Intermediate Snowflake: Intermediate Thanks Shruti

Job Title: Databricks Data Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $61.67/HR on W2 Responsibilities Develop and support new and existing data pipelines within Azure cloud-based data lake environments. Translate business requirements into scalable data engineering solutions supporting an enterprise-scale Microsoft Azure data platform. Maintain ETL operations and develop new pipelines to ensure data quality and management. Design, build, and optimize scalable data