... 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 ...
... 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 ...
... a data related area, 5+ years in the field of Data & Analytics, preferably in the area of Commercial/Marketing, e.g. eCommerce, CPG/FMCG industry - Excellent data architecture & technology knowledge, data engineering & data management skills (e.g. data quality). - Excellent Technology knowhow in Azure Databricks, ADF, Azure ...
... 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 ...
... lakehouses , dataflows, pipelines. - Use notebooks ( PySpark /SQL) within Microsoft Fabric to inspect and perform light data transformations . - Develop and work with Data Agents in Microsoft Fabric . - Participate in the development and deployment of AI solutions . - Collaborate with Data Engineers , BI Developers, Architects and ...
... support business transformation initiatives, and guide stakeholders in leveraging analytical insights for continuous process improvement Manage and mentor consultants and analysts Plan workload and ensure delivery quality Translate business needs into solutions Oversee data models and analytics outputs Validate dashboards ...
... primarily in Spotfire. Translate complex scientific and analytical data into clear, intuitive, and actionable visualizations. Develop and maintain R and Python data functions for data preparation, statistical analysis, modeling, and advanced visualization. Apply data visualization and user-experience best practices to create ...
... Snowflake), -Have experience in analyzing credit data, including BIK/BIG data, -Have proven experience in credit risk management, -Have experience in creating data visualisations using tools like Tableau, -Are able to create, maintain, and implement credit policy documents, -Are familiar with AIS data management, including ...
... obejmuje rozwój platformy danych, architektury analitycznej oraz rozwiązań wykorzystujących AI. Do realizacji projektu poszukiwana jest osoba do współpracy w roli Data Engineer, która posiada doświadczenie w projektowaniu i rozwijaniu nowoczesnych platform danych opartych o Google Cloud Platform oraz chce uczestniczyć w projektach ...
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 ...
Wymagane, Python / R, SQL Mile widziane, Git Twój zakres obowiązków, Walidacja modeli wykorzystywanych w obszarze (modele akceptacyjne, IFRS9, wyceny i kapitału wewnętrznego, IRRBB, AML) w celu zapewnienia ich zgodności z wewnętrznymi i regulacyjnymi standardami,, Rozwijanie narzędzi umożliwiających analizę
... 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 ...
... enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services Work with AI Architects, data engineers, and client ...
... role We work for the financial industry and you will play an important role in a DevOps approach designing, building, and maintaining the systems that underly data-driven decision-making. Your primary responsibility is to ensure the efficient and reliable flow of data from various sources to support business intelligence, ...
... experts and business owners, working closely with them to ensure a comprehensive understanding of the business processes, their business goals, and the underlying data solving different kinds of machine learning and data challenges using Python and SQL, enabling a correct visualization and analysis of internal processes in Celonis ...
... Linux About the project, As a Senior Scala Developer – Data & AI Platforms, you will be working for our client, an industry leader dedicated to advancing product data validation and analysis through cutting-edge technology solutions. Join a team that shapes the future of e-commerce data integrity—fostering innovation and promoting ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... You will implement and monitor data quality controls to ensure trusted data for reporting, decision-making and AI solutions. Your tasks Implement and automate data quality checks using Python and SQL. Analyse data and investigate data quality issues in Databricks. Define data quality rules, controls and KPIs. Produce data ...
Poland, Gdańsk
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... solutions that avoid impacting production performance. You’ll work with Kotlin/Java in a Spring Boot stack and collaborate with a US team, applying a proactive, ownership-driven approach. The role blends data engineering, analytics, and automation to improve data stability across a large data ecosystem, with emphasis on
Work flexibility - hybrid working model, flexible start of the day, sabbatical leave, Senior Data Engineer in FCU Technology Team (remote)
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Elastyczne godziny