... 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 ...
... Architecture or Data Platform roles. 3+ years of experience in Metadata Management, Data Governance, or Data Cataloging. Hands-on experience with enterprise data catalog solutions such as: DataHub OpenMetadata Collibra or similar platforms. Strong understanding of: Metadata Management Data Lineage Data Discovery Data Quality ...
... enhancement process of master data objects with additional fields in standard and custom tables, screens, and tabs, including building custom validations for data governanceHands-on experience with SAP configuration (IMG) and creating custom Fiori apps for master data maintenance (article, vendor, customer, site, assortments)Familiarity ...
... responsible for solution architecture focused on the data context. Key areas include: Data Governance (DG) and Data Management (DM); Data structures and modeling; Data security practices; Architectural best practices; Integration patterns; Non-functional requirements in the data context. Team Big team (20+ people) DataArt’s ...
... project-specific business logic through programming languages supported by the primary data platform Optimize data retrieval, develop dashboards, and perform data validation Collaborate with diverse teams including data scientists, analysts, and IT professionals Provide thought leadership on Data Software Engineering best ...
... and execution plans grounded in data operating best practices - Validate SOWs and commercials to ensure feasibility, profitability, and alignment with client data goals - Coordinate multiple delivery streams across data engineers, data scientists, analytics specialists, data architects, product owners, and fellow Delivery ...
... związanych bezpośrednio z: - data transformation, - data platforms, - data governance, - data quality, - data stewardship, - master data, - definiowaniem canonical data models, - migracją lub adopcją nowoczesnych platform danych. - Praktyczne rozumienie zagadnień takich jak data operating model, data ownership, stewardship, data ...
... penetration in an underserved hearing care market, we want to accelerate our business transformation in order to reach more people, more effectively. As a Business and Data Analyst you will be responsible for collecting and analizing extensive data-sets, data maintance and cleansing, reporting, as wel as identifing key trends and ...
Data Platform Solutions Lead (k/m) Miejsce pracy: Gdańsk Technologie, których używamy Wymagane - Microsoft Fabric - Azure Data Platform - Databricks - Snowflake - AWS lub Google Cloud Platform Twój zakres obowiązków - Wdrożenie i rozwój rozwiązania Data Lakehouse/Data Warehouse, obejmujące definiowanie strategii, architektury, ...
... source-system data and determine its representation in D365 F&O. Define source-to-target mappings, including transformation rules and filters. Profile source data, identify data-quality issues, and document migration risks. Prepare, execute, and troubleshoot data loads using the D365 F&O Data Management Framework. Analyze ...
Who we are looking for The State Street’s AlphaSM Data team is seeking versatile Data Operations Specialist with data analysis skills to help us build and sustain our client’s data capabilities and competitive advantage using the Alpha services and product offerings. The successful candidate has experience in data operations ...
... knowledge of modern data architecture concepts, including distributed data platforms and scalable data management approaches, Practical experience with cloud-based data environments, data modeling, and SQL, Understanding of data governance, reference and master data management, metadata, lineage, and data quality practices, Experience ...
... Requirements At least 6 years in data science with a track record of models shipped to production, including a minimum of 2 years leading or mentoring other data scientists Deep, hands-on Python skills across the standard data stack (pandas, NumPy, scikit-learn, XGBoost) — you can still review and write the hard parts ...
... compliance monitoring production workloads, troubleshoot incidents and continuously improve operational stability collaborating with business owners, analysts, data scientists, architects, software engineers and platform/DevOps teams contributing to architectural decisions, engineering standards, code reviews and reusable ...
... This is how we work - you have influence on the technological solutions applied - you focus on product development - agile Team members - technical leader - data scientist - product owner - business analyst Your responsibilities - Define and document information architecture for finance data, including conceptual and logical ...
... as an engineer (e.g., Data Scientist, Machine Learning Engineer, Data Engineer, DevOps, Python engineer)Solid understanding of GenAI and ML technologies, and data management fundamentalsExperience with at least one major cloud provider (AWS, Azure, GCP, Databricks)Ability to lead cross-functional, distributed teamsAbility ...
... systemów infrastruktury państwowej na poziomie minimum 99% w skali roku. Nasze wymagania - Minimum 3 lata doświadczenia w zaawansowanych środowiskach sieciowych lub Data Center. - Certyfikacja CCIE Data Center. - Bardzo dobra znajomość technologii Cisco Data Center. - Zaawansowane umiejętności diagnostyki i rozwiązywania problemów ...
... working on a greenfield data platform. You will be involved in building the solution end-to-end, combining strong backend engineering with data ingestion and data processing. The project involves integrating data from multiple file-based and API sources into a modern cloud data warehouse, with a strong focus on data quality, ...
... scale. As a Senior Data Engineer (Spark) , you will join a complex data engineering project focused on building and developing scalable data pipelines and modern data processing solutions. The role combines approximately 70% hands-on data engineering with 30% technical leadership . Alongside designing and developing data solutions, ...