426 to 450 of 1,448 Permanent Databricks Jobs

consulting and commercial experience, including business development and selling work. Experience engaging senior stakeholders and presenting at governance/board level. Desirable Experience with Databricks, Azure, AWS, GCP, Snowflake, semantic layers, data products, agentic AI architectures and responsible AI in production would be highly beneficial. This is an opportunity ...

model deployment using MLOps frameworks; Strong Python and SQL programming skills, with experience in PyTorch, TensorFlow, and Hugging Face; Experience with Databricks, Spark, and other data platforms and big data frameworks; Excellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business value; Nice to have: Experience ...

data analysis skills. Essential Technical Experience Experience working with Enterprise Customer Data Platforms (CDP) and Master Data Management (MDM) solutions. Experience with Databricks or similar modern cloud data platforms. Understanding of customer identity, customer master data, and customer data governance. Experience working within modern data environments including data warehouses, data ...

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

partner with stakeholders across the enterprise to build custom solutions, owning the architecture, modeling, and cloud + data engineering. Job Details AWS Databricks ETL Python Spark SQL IaC CI/CD AI LLM Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal ...

Python/R skills. Experience with dashboarding/visualisation tools such as Tableau, Qlik or similar. Exposure to modern data platforms such as Snowflake, Databricks or Spark, plus ETL/data pipelines. Experience with experimentation, A/B testing or statistical analysis. Business impact A proven track record of using ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment ...

Exposure to LLM models like ChatGPT, Google Bard etc. Exposure to Langchain, RAG and Fine Tuning of the LLM Models. Exposure to PySpark and Databricks for Data pipeline creation. Familiarity with modern front-end technologies Exposure to cloud technologies Experience with ReactJS front-end development is a plus #J ...

with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients ...

training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation) Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation ...

escalating appropriately, while developing toward greater independent ownership Strong analytical and problem-solving skills Excellent communication and collaboration abilities Nice to Have Experience with Databricks Experience with Kafka Experience with Kafka Connect Additional Information SFIA Level: 4 Security Clearance: SC Eligible required Location: Newcastle, Blackpool, Manchester, or Leeds (in-office ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

processes and governance approaches. Experience creating communications, training materials and adoption programmes that support effective use of data products. Knowledge of platforms such as Databricks and broader modern analytics technologies. Bring your passion for data, product thinking and stakeholder engagement to Whitbread and help build data products that drive smarter ...

practices Solid grasp of MLOps principles with experience deploying models in production Proficiency in Python and tools/platforms such as Azure, AWS, GCP, Databricks, MLFlow, and Airflow Strong communication skills with the ability to engage business and technical stakeholders We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits ...

certification (e.g., AWS Certified Generative AI Developer - Professional, or similar) Experience within financial services technology, particularly wealth, private banking, or asset management Experience with Databricks, Kubernetes, or comparable ML/cloud platforms Experience designing or contributing to AI governance, model validation, or guardrail frameworks Familiarity with JPM-internal AI/ ...

Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms and big data frameworks like Databricks and Spark Excellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business value Nice to have Experience applying AI in drug discovery ...

users. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3 years applied experience. Good working knowledge of AWS, Databricks, and Python. Experience across the data lifecycle. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis ...

generative AI applications with strong knowledge of MLOps and LLMOps lifecycles Advanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practices Knowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI Act Experience orchestrating multi-disciplinary ...

concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP) Knowledge of MLOps practices and tools like Databricks or MLflow Ability to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiences Experience in hybrid consulting ...

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 ...

Strong stakeholder engagement and communication skills. Experience operating within governance and assurance frameworks. Desirable experience includes: TOGAF and/or ITIL certification. Microsoft Fabric, Databricks or data platform certifications. Experience within nuclear, construction, infrastructure or other highly regulated environments. Knowledge of Information Governance and Records Management. Experience supporting AI, automation ...

both technical and non‐technical audiences. Strong SQL capability and a solid understanding of data modelling, data warehousing and BI architecture. Experience working with Databricks would be particularly valuable. Experience creating robust reporting solutions, including automation, governance and enabling users through self‐service analytics. A collaborative and curious approach, 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 ...

fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience supporting ...