476 to 500 of 1,389 Permanent Databricks Jobs

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 ...

analytics, with a specialization in building high-performance OLTP and OLAP environments. Familiarity with relational databases, document databases, Google Big Query, Python, and Databricks or equivalent technologies is preferred. Previous experience in creating real-time data analytical solutions for large multi-user SaaS environments. Knowledge of cloud based technologies, particularly ...

governance stakeholders to establish common definitions, terminology and semantic alignment.* Supporting the implementation of enterprise semantic architectures across modern data platforms, including Snowflake, Databricks and associated metadata ecosystems.* Collaborating closely with manufacturing SMEs, solution architects, data engineers and governance teams to ensure enterprise-wide consistency and reuse of semantic assets. ...

model versioning, CI/CD, observability, and automated evaluation. Beneficial knowledge: Ways of working: Agile delivery and engineering career frameworks. General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge deployments: Nvidia Jetson (e.g. Jetson Thor), Raspberry Pi, or other embedded accelerators. Working at Rowden ...

/mentor junior colleagues. Essential Strong hands‐on experience with Azure services: App Service, Azure SQL Database, Application Gateway, API Management, Servicebus, Storage Accounts, Databricks Expertise in Infrastructure as Code using Terraform and scripting knowledge (PowerShell, bash). Experience building and managing CI/CD pipelines with Azure DevOps, experience ...

engage with depth on platform, architecture, and implementation decisionsDeep experience with cloud platforms (AWS, GCP, Azure) and modern data tooling including platforms such as Databricks, Snowflake, and dbt, alongside AI development frameworks and LLM integration patternsFluency in core engineering languages and paradigms (Python, SQL, and at least one of TypeScript ...

powered automation solutions.Experience with Power Platform Center of Excellence (CoE) practices and managed environments.Knowledge of Azure services, integration patterns, APIs, Azure Functions, Databricks, and the broader Microsoft ecosystem.Experience building reusable enterprise assets, accelerators, templates, and solution frameworks.Experience with Power Pages and external-facing digital experiences.Relevant Microsoft certifications such ...

Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog ...

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 ...

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 ...

APIs (e.g., FastAPI, Flask) and metrics/insight generation platforms. Strong experience with data platform engineering and distributed processing tools (e.g., PySpark, SQL, Pandas, Databricks, Snowflake) to process and analyze telemetry data. Practical understanding of model evaluation concepts, such as precision, recall, model drift, and ground-truth labeling systems. Hands ...

Advanced programming skills in Python Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design, evaluation frameworks, and statistical analysis Proficiency with data visualization and analytical tooling (e.g. ...

team cohesion and a positive working environment. Technical Capabilities Experience with enterprise data platforms, preferably SAPBW and at least 3+ years on Azure with Databricks and PowerBI Advanced knowledge of enterprise data architecture, data warehousing principles, and data modelling methodologies including Kimball and Data Vault and designing the business semantic ...