Data Bricks Data Engineer

Responsibilities: Responsible for leading the design, development, optimization, and deployment of large-scale robust data solutions and data pipelines within the Databricks Lakehouse platform. This role requires technical leadership, advanced performance tuning expertise and a strong understanding of cloud architecture and DevOps practices.Lead the end-to-end design and implementation of scalable data pipelines and a medallion architecture (bronze, silver, gold layers) for structured and unstru

Role: Mid Level Data Engineer- Google Cloud Platform Mandatory Skills- Google Cloud Platform, AWS, Databricks, PySpark, DBT, Airflow or similar tools Overview We are also hiring multiple Data Engineers (Contractors) to support the buildout of a next-generation data platform. These engineers will focus on pipeline development, data transformation, and supporting the overall platform modernization effort. Key Responsibilities Build and maintain data pipelines using Databricks and PySpark Work wit

More positions on our sites - CareersInConnecticut.com - CareersInSouthDakota.com We are seeking a Data Engineer with experience in projects emphasizing complex data solutions. This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products. Work with the Business Intelligence team and operational stakehold

Minimum total of 6+ years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOpsWe are seeking a passionate Azure AI/ML Ops engineer to create data platform and pipeline to enable advanced analytics.AI/MLOPS Engineers are the crafters of automation, turning data-driven models into practical applications. They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real-world deployment. Their expertise