... teams, providing architectural oversight and hands-on guidance on complex implementations. Job Qualifications Platform Expertise: Hands-on experience with the Databricks ecosystem. Proficiency in Unity Catalog is required. Metadata Mastery: Experience in designing metadata-driven architectures. Understanding of "Active Metadata" ...
... pipelines utilizing tools such as GitHub Actions, SonarQube, Snyk, or equivalent technologies. Strong understanding of distributed computing concepts and large-scale data processing. Experience troubleshooting and supporting complex cloud-based platforms and data solutions. Understanding of Cloud Infrastructure and networking in ...
For Digital Hub Warsaw, we are looking for: Senior Data Scientist Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with ...
... offers a unique opportunity to collaborate with dynamic, cross-location teams and contribute to shaping the product vision. Senior Developer (T SQL / Java / Data Flows) Responsibilities: Perform impact analysis of changes and ensure consistency with the existing architecture Define and specify data flows, including technical ...
... Continuous Integration and Deployment, Co-deciding on the direction of technological development for the team, Designing the cloud infrastructure (including complex solutions using Kubernetes), Building the infrastructure itself, Ensuring the security of the infrastructure, Mentoring less experienced colleagues (both technically ...
... exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, ...
... individual(s) in the role of Data Modelling will be responsible for modelling data within specific Businesses, Functions and/or Geographies and will work with the Data CIOs and Data Officers and their respective teams as needed. The Role The data modeler designs, implements, and documents data architectures and data models for ...
... business objectives into scalable, secure, and cost-optimized data platform architectures powered by Databricks. Oversee complex implementations, including legacy data warehouse migrations, lakehouse deployments, and enterprise analytics solutions. Design, build, and productionize robust end-to-end data ingestion pipelines and ...
... their different purposes and guarantees experience deciding between batch, micro-batch, and streaming approaches based on latency, correctness, and operational complexity strong background in software engineering, version control, writing readable code and tests, robust design, and basic data structures and algorithms ability ...
... models. Hands-on experience in Data Quality Management, Metadata Management, Master Data Management, or similar data management disciplines. Practical knowledge of data governance frameworks and industry best practices, particularly DAMA-DMBOK. Experience working in large and complex organizations with multiple business and technology ...
... and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role We are looking for a Data & AI Solution Architect to design enterprise-scale solutions using Azure Databricks and modern lakehouse technologies. You will combine architecture leadership ...
... the contract: Sr Cyber Security Engineer) The Cyber Data Defense (CDD) Squad is seeking a Senior DLP Engineer to design, build, and operationalize enterprise data protection controls across our Microsoft Purview and Netskope platforms. This is an advanced individual-contributor role that owns complex technical execution ...
... The Structured Problem Solver: Proficient in root-cause investigation techniques (8D, QRQC) with a hands-on mindset for analyzing plant failures and diagnostic data (CANalyzer, CANoe, UDS protocol tools). - The Communicator & Facilitator: Excellent technical communication skills, capable of translating complex shop-floor ...
... team, our Data Analysts (f/m/d) help improve the gaming experience for our players. You’ll work hand-in-hand with product, design, and engineering teams to turn complex player data into deep analyses, experiments, and insights that shape what we build next. As a data enthusiast, you’ll translate business and product questions ...
... introducing new team leader positions. The Record to Report (RTR) team is responsible for the end-to-end accounting process to deliver accurate and timely financial data, and for ensuring compliance with accounting standards and internal policies. It manages general ledger activities, including journal entries, fixed assets, and ...
... understanding of the product and technical analysis — PdM goes under the hood of the system: analyses logs, APIs, architecture, service dependencies, queues and data flows to understand the impact of functional changes on the backend and operating system of the product, Daily technical cooperation with engineering — you are ...
What we achieve together As the Tech Lead in a Data Engineering team, you take responsibility for the technical direction of our data platforms (esp. Databricks), ensuring scalability, reliability, and high data quality while making key technical decisions. Together with your team, you implement critical components and ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...
... efficient data models integrating multiple sources in the form of Data Hub defining patterns, templates, and best practices for data engineering establishing data governance, access policies, and security frameworks for data layer / Data Hubs ensuring efficient storage, retrieval, and processing of large-scale datasets ...
... governance workflows and accelerate delivery Requirements 2+ years of experience in data governance or data consulting roles Strong proficiency in Informatica Cloud Data Governance and Catalog implementation Knowledge of metadata management and data quality practices in enterprise environments Understanding of Databricks and AWS ...