... Minimum 4 lata doświadczenia jako Data Engineer - Bardzo dobra znajomość Python, - Praktyczne doświadczenie z PySpark, - Doświadczenie z Azure, - Znajomość Azure Databricks, - Bardzo dobra znajomość SQL, - Doświadczenie w budowaniu i utrzymywaniu data pipelines, - Doświadczenie w transformacji i przetwarzaniu danych, - Znajomość ...
Astek Polska poszukuje Data Analyst dla klienta z branży finansowej. Rola obejmuje analizę danych, definiowanie wymagań, współpracę z zespołami IT i biznesu oraz projektowanie rozwiązań wspierających deweloperów. Praca z relacyjnymi bazami danych, JSON/AVRO, PySpark i narzędziami Jira/Bitbucket. Oferujemy długoterminową ...
... 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 ...
... Data Products Drive modernization of legacy solutions into modern data platform architectures, including transition from MSBI-based reporting (SSIS, SSAS) to Data Products Contribute to technology selection and evolution of the Azure data platform, ensuring alignment with security, compliance, and enterprise architecture ...
... meet business objectives and user expectations. - Drive continuous improvement of ERM platforms, identifying opportunities to improve functionality, efficiency, data quality, and user experience. - Coordinate with technology teams, architects, and delivery partners to support successful solution design, development, testing, ...
Veeam is seeking a Customer Success Engineer to lead onboarding, adoption, and optimization across the Veeam Data Platform. You’ll be the primary technical owner driving long-term customer outcomes, including DR/R simulations, resilience reporting, and migrations. You’ll collaborate with CISO/CIO stakeholders, shape adoption ...
... more scalable, reliable, and cost-efficient. - Power AI initiatives: Lay solid data engineering foundations that enable AI data products. - Design and maintain data pipelines: Build robust processes to ingest data from multiple sources and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts ...
... rozwiązania napędzające rozwój jednego z największych ekosystemów convenience w Polsce. Realizujemy projekty obejmujące rozwój aplikacji Żappka, inicjatywy z obszaru data science wspierające franczyzobiorców, rozwiązania wykorzystujące generatywną sztuczną inteligencję (genAI) oraz inne innowacyjne produkty cyfrowe. Aktualnie poszukujemy ...
... the EBS arenaFlexibility with maintenance and code deployment timesPrepare and maintain architecture and topology diagrams and documentation related to Oracle databases and applications Requirements Minimum 5+ years of relevant Oracle EBS DBA experience with large EBS systemsDeep knowledge of database performance and System ...
... oraz procesów CI/CD, umiejętność tworzenia dokumentacji technicznej, doświadczenie w pracy w metodykach Agile. Mile widziane: Dataform, doświadczenie w budowie hurtowni danych, Angular, platformy Low-Code/No-Code, doświadczenie w środowisku produkcyjnym lub przemysłowym, znajomość zagadnień Data Governance i Data Quality.
... using Alteryx for ETL workflows, data blending, cleansing, and automating repeatable data pipelines across multiple sources. - Experience designing and building data marts to support analytical and reporting use cases, including dimensional modeling (star/snowflake schemas), data aggregation layers, and optimizing data structures ...
Data Engineer O projekcie Poszukujemy doświadczonego Data Engineera, który dołączy do zespołu odpowiedzialnego za rozwój nowoczesnej platformy danych w środowisku chmurowym. Jeśli dobrze odnajdujesz się w pracy z dużymi zbiorami danych, lubisz budować skalowalne rozwiązania i posiadasz doświadczenie z nowoczesnym stackiem ...
... lifecycle of business-critical applications, ensuring their stability, availability and continuous improvement - Monitor and optimise application performance, data flows and reporting processes - Identify and implement opportunities for automation, process optimisation and improved data quality - Coordinate incidents, problems ...
... 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 ...
... analytical workloads. Write and tune advanced SQL queries for reporting, aggregation, and data validation. Collaborate with data engineers and analysts to ensure data models meet business needs. Work with structured and semi-structured data from multiple sources. Contribute to improving data quality, performance, and maintainability. ...
... Governance, Data Management, Business Intelligence, Data Strategy, or related disciplines. Proven track record of designing and implementing enterprise-wide Data Governance frameworks, standards, and operating models. Hands-on experience in Data Quality Management, Metadata Management, Master Data Management, or similar ...
... Platform (Vertex AI). - Familiarity with Operations Research concepts, Mathematical Optimization techniques (like MILP), and Graph Analytics. - Experience with geospatial data and relevant libraries (e.g., GeoPandas, H3). Welcome to the Delivery Experience (DEX) Data Science team, where we pride ourselves on developing data-driven ...
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... in data modelling and data visualization, with a strong focus on scalable data management concepts – including experience with standardized ETL processes and data pipelines – as well as practical experience in putting these and MLOps into production sound knowledge of one or more programming, scripting and database languages ...
... partners, we are currently looking for: Data Solution Designer with Python Responsibilities: Design and maintain data models supporting credit and financial data processes Analyse business requirements and translate them into scalable technical solutions Define and manage data mappings between multiple systems to ensure ...