... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformationsFrame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation ...
... 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 ...
... 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 ...
... 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 ...
... 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 ...
... accuracy, consistency, and quality of our material master data across systems. You will be part of material team responsible for maintaining high standards for data quality and contributing to the ongoing development of harmonized, efficient data management practices. - Master Data Management: Create, maintain, and update ...
... language at B1 level - Hands-on, professional experience with BI/ETL/Bigdata Technologies - Strong understanding and experience with design techniques of relational databases - Experience with data lakes with Databricks or Snowflake - Experience with real-time data processing and data warehousing aggregation What we look for As ...
... Cloud Architecture or Data Migration Strong hands-on experience with Google Cloud Platform and BigQuery Proven experience migrating enterprise platforms from Teradata Experience designing Data Warehouse and Data Lake architectures Practical knowledge of Databricks and Google Cloud Dataproc Strong SQL optimization and performance ...
... 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 ...
... (on-prem & cloud), SAP Datasphere, and SAP Analytics Cloud (analytics & planning). - Experience with data integration patterns, ETL/ELT, semantic layers, master data management, and data governance. - Working knowledge of Databricks, Data Lake architectures and modern data stacks is a strong plus. - Experience with SAP Business ...
... technicznej. • Współpraca z zespołami technicznymi i biznesowymi. • Udział w implementacji, testach oraz optymalizacji rozwiązań. Wymagania • Doświadczenie w Data Modelling oraz Solution Design. • Bardzo dobra znajomość Python. • Bardzo dobra znajomość SQL oraz relacyjnych baz danych (Oracle, PostgreSQL, MS SQL lub podobnych). ...
... application form in a different format), please contact the team r Wyświetl e-mail na https://jobeax.com/link/Ho0veWdOkhHJhBKF ,[Design, build and optimise scalable data platforms and pipelines using Azure services, Microsoft Fabric and Databricks., Develop robust batch and near-real-time data ingestion and transformation processes ...
... English, both written and verbal. Preferred Qualifications - Experience with Power BI including data modelling, DAX, and dashboard development. - Experience with data ingestion, ETL/ELT processes, and modern data architectures. - Understanding of data governance, master data management, and data quality frameworks. - Exposure ...
Relout poszukuje doświadczonego Java Developera / Kafka Engineera do projektu dla polskiego klienta z sektora bankowego. Zadania obejmują tworzenie backendu opartego na Javie, Spring Boot i architekturze event-driven z intensywnym użyciem Apache Kafka, Kafka Streams i kSQL.
... decisions faster and more efficiently. To achieve this, your focus will be on automating data processes and implementing modern AI tools directly within our Databricks platform and Looker. Your key responsibilities include: CRM & Loyalty Insights: As a Data Analyst – CRM, you are the analytical point of contact for our ...
... - Communicate effectively and collaborate with business users Requirements: - Strong SQL skills, including reading and writing code - Extensive experience in data analysis, data hygienez, data quality and solution design - Minimum 10+ years of relevant professional experience - Experience working with complex requirements ...
... successful candidate will have: - Strong understanding of data engineering principles, including ETL/ELT, data modelling, transformation, lifecycle management, master data management, data warehousing, data lakes and enterprise data architecture. - Experience designing scalable, resilient and secure Azure-native data ingestion, ...
... ground up, this hands-on program will equip you with the knowledge and practical experience to build intelligent data solutions. You’ll explore key areas such as: Data Integration, Data Visualization and Data Quality. By the end of the program, you’ll not only understand the full lifecycle of data products – you’ll be ready ...
... segmentations and machine learning solutions - Strong understanding of statistics, exploratory data analysis, feature engineering and model evaluation - Experience with data mining processes, data preparation and data scraping - Ability to work with messy, real-world business data and convert it into useful analytical outputs - Experience ...