... with Liquid Clustering. - Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. - Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. - Package and deploy work using Databricks Asset Bundles through Azure DevOps ...
... with Liquid Clustering. - Register curated data products in Unity Catalog with the correct tags, masks, row filters, lineage and access policies. - Implement data quality gates at the Silver-to-Gold boundary, and refine rules with domain stewards. - Package and deploy work using Databricks Asset Bundles through Azure DevOps ...
Hitachi Energy seeks an experienced Project Manager to lead initiatives focused on data management and analytics. You will drive delivery, coordinate stakeholders across IT, procurement, engineering, and production, and implement best practices for data maintenance and quality. You will oversee schedules, milestones, 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 ...
... systems, defining APIs and integration contracts, and producing architecture artifacts (e.g., HLD/LLD, sequence and deployment diagrams)Familiarity with modern data and processing technologies such as data streaming, real-time and batch processing, with exposure to Databricks; Kubernetes is a plusSignificant experience with ...
... professional experience in data architecture or platform engineering, with a proven track record of migrating legacy SAP systems to cloud-native platforms like SAP Datasphere. Deep technical understanding of SAP BDC Datasphere architecture, administration, and hands-on data modeling, paired with strong proficiency in SQL for ...
We are looking for a Senior Data Engineer to support the design, development, and enhancement of our client’s enterprise data platform. The ideal candidate is a hands-on data engineer with strong experience building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses. ...
... definitionCapability to deliver best-in-class SAP solutions with high-quality design based on complex business requirementsUnderstanding of SAP IS Retail architecture, data model, and business processes, including managing core master data objects (Article, Site, customer/vendor/purchase info records, assortments, pricing conditions, ...
... Każdy pracownik przychodzi do nas po to aby się rozwinąć. Interesuje nas Twój rozwój, bo z tego czerpiemy satysfakcję, a nasi klienci korzyści. Senior Oracle Data Integration Developer Lokalizacja: hybrydowo/Warszawa Jeżeli: masz 5+ lat doświadczenia w środowisku Oracle, bardzo dobrze znasz SQL i PL/SQL, masz doświadczenie ...
... AI-driven analytics use cases such as conversational analytics within the data platform. Conduct ad-hoc analyses and complex analytical projects combining tracking data with additional data sources. Collaborate with cross-functional teams (Digital Business, Marketing, Product, Category Management) to translate data into actionable ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Big Data technologies for effective data ingestion Process and transform data using tools such as Spark and various Cloud Services Understand ...
... evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints. Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems. Raise the bar for engineering practices across the Data Science ...
... w Rumunii oraz Wielkiej Brytanii. Posiadamy również własne R&D Center, które jest miejscem powstawania innowacyjnych projektów m.in.: w obszarach testów, Big Data, Cloud czy AI.W ramach naszych usług tworzymy szyte na miarę rozwiązania, utrzymujemy i rozwijamy nawet najbardziej wymagające systemy IT. Działamy w takich modelach ...
... analityki, MLOps i AI oraz rekomendowanie kierunków rozwoju. Nasze wymagania - Minimum 3 lata doświadczenia w obszarze platform analitycznych, platform danych, MLOps, data science lub pokrewnym. - Bardzo dobrej znajomości SQL i Pythona. - Znajomości zagadnień MLOps, w tym wersjonowania, monitorowania, dokumentowania i odtwarzalności ...
... 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 ...
... plusSystems-thinking mindset with the ability to connect sales, delivery, operations, and data value realizationStrong understanding of data architecture patterns, governance, quality, privacy/compliance, and how they translate into delivery plans and operating modelsExperience in translation of data strategy into actionable roadmaps, KPIs, ...
AstraZeneca is seeking a Global Standards & Quality lead for the GBS Data Office. You will lead a small team to maintain data quality, standards, and governance across commercial data domains, enabling AI and automation while aligning with AZ data principles. Role requires strong knowledge of governance frameworks, privacy ...
... plusSystems-thinking mindset with the ability to connect sales, delivery, operations, and data value realizationStrong understanding of data architecture patterns, governance, quality, privacy/compliance, and how they translate into delivery plans and operating modelsExperience in translation of data strategy into actionable roadmaps, KPIs, ...
... definitionCapability to deliver best-in-class SAP solutions with high-quality design based on complex business requirementsUnderstanding of SAP IS Retail architecture, data model, and business processes, including managing core master data objects (Article, Site, customer/vendor/purchase info records, assortments, pricing conditions, ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Data Software Engineering technologies for effective data ingestion Process and transform data using tools such as Spark, Databricks ...