... Data and Applied Science team, you'll build the context engine grounded in SAP’s Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAP's AI agents and assistants. What you'll build: The Data and Applied Science team will build the semantic and contextual ...
... and modern data platforms.- Experience designing end-to-end AI solutions and architectures across cloud and enterprise environments.- Strong understanding of data architecture concepts including data lakes, lakehouses, data warehouses, data pipelines, data governance, and data platforms.- Experience with major cloud platforms ...
... Data Engineer ! As a Data Engineer, you will play a key role in enabling L'Oréal's data-driven transformation by designing, building, and optimizing scalable data solutions on the Google Cloud Platform (GCP) . You will develop robust data pipelines, modern data platforms, and cloud-native data architectures that power analytics, ...
... within one of the most dynamic logistics environments in the world Our data professionals for a German speaking country are at the forefront of transforming how data drives business decisions. We deliver real-time, business-critical insights across reporting, forecasting, and planning - empowering leadership with the intelligence ...
... administration, and troubleshooting. - Experience with backup and recovery tools for both MySQL and MongoDB. - Experience with scripting (Shell, Bash, Python, or PowerShell) for database automation. - Familiarity with PMM, MongoDB Compass, MongoDB Atlas Monitoring, or equivalent tools. - Experience with Linux system administration ...
Key Responsibilities :- Design, implement, and optimize data center network infrastructure using EVPN/VXLAN and Spine-Leaf architecture.- Execute greenfield data center network deployments, including planning, implementation, testing, and migration activities.- Deploy and configure Spine-Leaf architecture across data center ...
IRISS is the global leader in industrial safety and condition-based monitoring technologies, trusted by power generation, data center, and critical infrastructure teams worldwide. We design and manufacture in our facility in Bradenton Florida (made in the USA) innovative solutions that make maintenance safer, smarter, and ...
About the Role :We're looking for a Data Engineer with 1 - 2 years of experience to join our data team. You'll help build, maintain, and optimize data pipelines that power analytics and decision-making across the organization. This is a great opportunity for someone early in their career who wants to deepen their skills ...
... middleware). Develop and manage integrations using Azure Integration Services (Logic Apps, Service Bus, API Management, Functions). Build and maintain custom APIs, data entities, OData services, and batch integrations . Ensure data consistency, reconciliation, and error handling across integrated systems. Collaborate with functional ...
Job Description : As a Data Scientist, you will identify business trends and solve complex problems using large-scale data and advanced AI techniques. You will design, develop, and deploy high-impact solutions ranging from classical ML/DL to LLM-powered applications including RAG-based architectures and Agentic AI https://jobeax.com/link/LNO4qyefA3UlJa2l ...
... data integration, workflow orchestration, and data warehouse https://jobeax.com/link/xr65F3iaCgiH6SkB candidate will work closely with business stakeholders, data architects, and engineering teams to migrate existing ETL workloads, optimize data processing frameworks, and establish best practices for cloud-native data https://jobeax.com/link/QJthsbNyq6dgbViB ...
Role : Senior Data Scientist - Digital AssetsJob Description :Skills and Competencies :- Experience in data science, data engineering, machine learning, financial analytics, digital assets, capital markets or risk analytics- Strong understanding of structured and unstructured data, including on-chain and off-chain data ...
... Data Science, Statistics, Computer Science, or a related field. - 1-2 years of experience in data analysis. - Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). - Experience with data visualization tools (e.g., Tableau, Power BI). - Attention to detail and commitment to data accuracy.
... Lead Engineer - Systems plays a critical role in the design, integration, testing, and validation of complex rail systems, including signalling, communications, power, and rolling stock interfaces. This role ensures that all subsystems work together seamlessly to meet safety, performance, and regulatory requirements throughout ...
... architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries. Demonstrate expertise in data modeling, database design, cloud architecture, and data infrastructure management. 5+ years of experience in data engineering, cloud architecture, or data infrastructure. ...
Job Responsibilities Data Governance professional with experience in: Data Governance & Stewardship Collibra SQL Customer Master Data (HCP, HCO, Affiliations, Organizations, Addresses, Territories & Sales Alignment) Data Quality, Validation, Deduplication & Enrichment Metadata Management, Data Lineage, Business Glossary ...
About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something ...
... parameterizations and translate them into equivalent Python EL scripts and dbt transformation models. • Develop and maintain Python EL pipelines to land high-volume data, including billion-row tables, into the target warehouse using SQLAlchemy, cx_Oracle, pyodbc, and bulk export tools such as Oracle Data Pump and SQL Server BCP. ...
... Have working knowledge of marketing related visualization assets 3.5-5 years of experience in data visualization and analysis, with a strong focus on Tableau/Power BI. - Proficiency in SQL and experience with relational databases. - Strong understanding of data warehousing concepts and data modeling. - Creative mindset ...