... opportunity into a customer engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics ...
... Develop and optimize data processing workflows to ensure performance, reliability and data quality. Integrate data from multiple sources and support efficient data flows across systems. Implement data validation and quality checks to ensure consistency and accuracy. Collaborate with software engineers, analysts, business ...
... systems, data governance and data management processes. - Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. - Hands-on with Big Data technologies like Spark , Cloudera, Data Platform, Airflow, Iceberg, Kafka, and CI/CD. - Excellent understanding of dimensional data and data modeling techniques. ...
... revenue impact and collaborate with some of the world’s largest AI companies. Responsibilities: Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata. Map customer requirements to our existing metadata and apply data modelling ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... data-driven decision-making by designing, modeling, and visualizing data across multiple platforms. The role involves working with SAP BI tools, integrating data from various sources, and contributing to modern data workflows. Responsibilities Design and develop data models in SAP Datasphere, including both graphical and ...
... considerations. - Experience with Databricks, Snowflake, Azure, AWS or other cloud‑based data platforms. - Strong understanding of data architecture, database design, data modeling and data management concepts. - Experience working with large‑scale datasets and complex data transformation. - Experience supporting data modernization, ...
... Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements and migration of data from one system to another. - Data Quality, Profiling ...
... More about us The Data & Analytics Services organization within Automation Business delivers and supports analytical data products, reporting solutions, and data-driven decision support capabilities across multiple divisions. Our mission is to enable business value through scalable analytics solutions, strong data governance, ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs)., Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers., Managing complexity: Work at the intersection of business vision ...
We are looking for a Data Engineer - Process Mining to join our team. In this position, you will be responsible for ensuring the availability, quality, and reliability of data required for Process Mining by designing, integrating, and maintaining scalable data pipelines, datasets, and data models. The primary focus is on ...
... and developing data pipelines for reliable and efficient data flows. Ensuring data availability and security in the central storage layer. Collaborating with data stakeholders to support data-driven initiatives. Implementing best practices in development, testing, and deployment. Optimizing use of AWS services for data ...
Obowiązki - prowadzenie regularnych audytów wewnętrznych z zakresu ochrony danych osobowych (w biurach oraz na halach produkcyjnych), - bieżąca aktualizacja i prowadzenie Rejestru Czynności Przetwarzania (RCP) oraz Rejestru Kategorii Czynności Przetwarzania (RKCP), - monitorowanie systemów informatycznych (IT) oraz
... and optimizing Data Lakes and data warehouses based on methodologies such as Kimball or Data Vault - Expert knowledge of at least one cloud technology in the Data Platform area: Azure, AWS, Databricks, or Snowflake - Ability to take a holistic view of data and processes and understand the strategic business goals of the ...
... and processing of large-scale datasets preparing solutions for streaming and batch data ingestion, transformation, and updating models implementing automated data validation, anomaly detection, and proactive issue resolution working with engineers, analysts, and AI/ML teams to align architecture with business needs maintaining ...
... consistency Requirements: - University degree in IT, data analytics, economics, mathematics, or a related field - 2–3 years of experience in data analysis, CRM/CDP, data quality, or data governance - Experience working with consumer data (retail, FMCG, or e-commerce preferred) - Experience with CRM/CDP systems, data integrations, ...
... Power BI across multiple data pillars. Migrate master reference tables into a central Master Data Management (MDM) system. Design and implement a comprehensive data quality framework throughout the data pipeline. Automate data delivery processes for manually loaded data sources. Migrate data sources to a full raw data model ...
... 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 ...
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. ...
... 3 years in a Consulting role leading Data Management & Governance initiativesDeep practical subject matter expertise in at least 2-3 of the following areas: Data Governance Operating model & Policies, Data Quality, Master Data Management, Metadata Management & Data Cataloging, Data Lineage, Data ComplianceUnderstanding ...