476 to 500 of 1,450 Databricks Jobs

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

operation of reporting and planning systems using the following tools and skill sets:Data Warehousing (e.g. SAP BW)/Data ModellingData integration (Fabric/Databricks)SAP BW query writingBI Report developmentData SecurityMaster Data ManagementImplementation of AI in digital solutionsWorking with Finance data and processesCustomer service skillsDevelop knowledge of Rolls-Royce ...

communication skills. Demonstrate deep D&A expertise, including data platforms, migrations, modelling, governance, and analytics, with hands-on exposure to cloud technologies such as Databricks, Snowflake, and Power BI. Apply solid understanding of data architecture, operating models, and retail data domains (product, customer, inventory, pricing, forecasting, etc.) to guide effective ...

portfolio, customer or market analytics products within financial services, risk analytics, SaaS or enterprise software organisation preferred Familiarity with Power BI, Tableau, SQL, Python, Databricks or cloud-based analytics environments, and experience with product discovery, user research, adoption planning or change management preferred Basic understanding of artificial intelligence concepts, with ...

dynamic environment Comfortable manipulating and analysing data in a scripting language Our tech stack Python as our main programming language DBT for data modelling Databricks as our datalake platform Kubernetes for data services Orchestra for task orchestration Terraform for infrastructure Lightdash for data applications Airflow and Astronomer for job scheduling ...

Proven experience designing and delivering AI, GenAI, and Data architectures within platforms such as AWS (Bedrock/SageMaker), Microsoft (Azure AI Foundry/Copilot), Databricks, Google Cloud (Vertex AI), Snowflake, or Palantir. Hands-on Modern AI & Agentic Builder Experience: Direct hands-on experience building, prototyping, or solutioning with frontier LLMs ...

collecting, parsing, cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/ ...

contractor resources to maintain operational continuity and quality output Knowledge of data processing frameworks, including ETL pipelines, data integration, and data modeling (experience with Databricks or Spark preferred) Strong analytical and problem‐solving skills with the ability to communicate clearly to both technical and non‐technical stakeholders Basic understanding ...

similar, supporting a technical sale. Real depth in data. You know at least one of these areas well: data warehouses (such as Snowflake, Databricks or BigQuery), cloud data infrastructure on AWS, or behavioural event data. You’re comfortable going deep in the one you know best. A consultative approach. ...

platforms, and advanced analytics to enhance decision-making and client outcomes. We partner with leading AI and technology providers — including Anthropic, Microsoft, AWS, and Databricks — to accelerate innovation and expand platform capabilities. By connecting proprietary data, AI infrastructure, and commercial strategy, the team drives transformation across Moody's, delivering solutions ...

skills Formal training or certification on software engineering concepts and advanced applied experience with SQL, Data Transformation, ETL, Python. Working knowledge of AWS, Databricks and big data technologies and concepts. Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code ...

management, and data lineage tools. Familiarity with data privacy regulations (e.g., GDPR) and compliance requirements. Proficiency in data management platforms (e.g., Azure Data Lake, Databricks) and BI tools (e.g., PowerBI). Excellent analytical, problem‐solving, and organizational skills. Experience working with both onshore and offshore teams. Strong communication and stakeholder ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud‐based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate technical complexity into executive‐level narratives Experience working within agile, cross‐functional product and delivery teams Strong ...

customer-facing teams and convert technical capabilities into clear commercial value Hands-on familiarity with application programming interfaces, cloud data platforms such as Databricks and Snowflake, and generative or agentic artificial intelligence architectures Experience building partner ecosystems and co-sell motions with consultancies, systems integrators, and technology or cloud partners ...

graph or semantic retrieval, data engineering, event-driven integration or workflow orchestration. Experience deploying software or data products on Azure, AWS or GCP, DataBricks, Snowflake, Palantir etc. using relevant cloud services and at least one of containers, Kubernetes or serverless patterns. Delivery experience in a regulated environment or under formal ...

Data Architecture. Expertise across foundational data domains including data modelling, data engineering, data governance, and data consumption. Working knowledge with the likes of Databricks, Snowflake, Anthropic etc Excellent communication and collaboration skills. Experience working in client facing environments and a proven track record in architecting complex data solutions. Experience leading ...

data modelling and dashboard development skills. Knowledge of Revenue Growth Management, Trade Promotion Management, promotional analytics or post-event analytics. Experience with Snowflake or Databricks A strong understanding of data quality, reconciliation and root cause analysis. The ability to turn complex datasets into actionable business insights and explain recommendations ...

pipelines you have built and operated.* Deep hands-on knowledge of at least one hyperscaler: AWS, Microsoft Azure or Google Cloud, plus experience administering Databricks or Snowflake.* Good understanding of open-source technologies.* Strong security fundamentals across identity, secrets and network isolation, with a practical understanding of cloud cost management. ...

data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms — experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI — designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool ...

data is spread across its systems, bringing it together and modelling it. Modern data and AI platforms — experience working with platforms such as Databricks, Snowflake, Microsoft Fabric, Google Cloud, AWS data lakes, Palantir or C3.ai. Agentic AI — designing agents and AI solutions grounded in enterprise data: LLMs, retrieval, tool ...

shape the technical roadmap for data engineering across Elliptic. Leverage and deploy AI and agentic systems to operate more effectively. Tech environment Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming You will thrive here if you Enjoy end‐to‐end ownership, from writing the code to architecture design ...

customer engineering or a similarly client-facing technology role. Preferred Skills and Experience Experience with Microsoft Fabric and modern data platform capabilities. Experience with Databricks and data engineering or AI workloads. Experience with Azure services commonly used in AI solutions, such as Functions, Logic Apps, API Management, AI Search ...