... data mapping, harmonisation, derivations, calculations, or other transformations required to make the data easy to use by the business; ensuring that the target data model is coherent and works in conjunction with the other data models in the data warehouse. Responsibilities: •Designing data warehouse solutions driven by business ...
... Identify new opportunities for data-driven growth and champion data-based decision-making across the organization Requirements Minimum 5 years of experience as a Data Scientist Strong proficiency in SQL – ability to write complex queries, join large datasets, and prepare data for modeling Proficiency in Python (libraries such ...
... Tworzymy, testujemy, wprowadzamy zmiany tam, gdzie mają sens. Budujemy rzeczy od zera i szukamy nowych rozwiązań. Brzmi dobrze? Dołącz do nas na stanowisko Senior Data Scientist i razem z nami buduj przyszłość Internetu! Jakie działania będą należeć do Ciebie? Projektowanie, implementacja, ewaluacja i wdrażanie modeli ML do ...
... inference concepts, experimentation design), selecting appropriate methods for complex data science problems. - Write efficient, modular, well‑tested code for data processing, feature engineering, and model training/inference, leveraging distributed tooling (e.g., Vertex AI pipelines, Dataflow, BigQuery) where appropriate. ...
... least 4-6 hours NY time. Tasks and responsibilities: - Engage with stakeholders to determine data analytics requirements - Analyze business needs and create data-driven solutions - Gather and analyze corporate data - Implement data analytics applications, including data transformation, analysis and visualization - Contribute ...
... rozwój biznesu. Projekt wykorzystuje nowoczesne technologie Microsoft Azure, zaawansowane platformy danych oraz rozwiązania Machine Learning. Twoja rola Jako Data & ML Architect będziesz odpowiadać za projektowanie architektury end-to-end dla obszarów Data & AI oraz za wyznaczanie kierunku technologicznego dla zespołów ...
... Project Management, Finance & Banking, or Business. Celonis Data Engineer or Data Analyst certification will be an asset. Responsibilities: Design end-to-end data architecture for process mining solutions, ensuring scalability, maintainability and alignment with project objectives. Define data engineering standards, best ...
W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność - współtworzymy wyjątkowe rozwiązania IT. Aktualnie poszukujemy osób na stanowisko: IT System Analyst / Business-System Analyst - Payments Konkrety: Stawka: Wyświetl ...
For Digital Hub Warsaw, we are looking for: Senior Data Scientist Are you excited to turn complex business questions into measurable impact? We are hiring a Senior Data Scientist for the Machine Learning & Artificial Intelligence unit within Bayer’s Enterprise Data & Analytics Platform. You will combine generative AI with ...
... dane rynkowe oraz zdarzenia transakcyjne w czasie rzeczywistym. Rozwijaj wysokowydajne systemy backendowe dla branży fintech! Java Developer - Trading & Market Data Miejsce: Poznań, ul. Grunwaldzka 182 (budynek Pixel 1). Praca hybrydowa (4 dni biuro - 1 dzień zdalnie w tygodniu) Budżet: 12 500 - 17 000 PLN O zespole: Dołączysz ...
... 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 ...
A leading technology solutions provider is looking for an Operations Associate to manage customer data, provide support, and handle administrative tasks remotely. The ideal candidate will have a Bachelor’s degree and at least one year of relevant experience, including proficiency in Microsoft Excel. Strong organizational ...
... large language models; MLOps experience is desirable strong analytical skills and experience in processing large structured, semi-structured and unstructured data sets, supplemented by experience with GenAI applications willingness to innovate and a proactive way of working combined with the ability to think and act in ...
... improve the existing Microsoft Fabric setup and architecture Design, build, and maintain bronze, silver, and gold data pipelines Develop and optimise gold layer data models for analytics and reporting Implement and maintain data transformations using Python (PySpark) or Spark SQL Ensure platform scalability as new data sources ...
... maintain data pipelines: Build robust processes to ingest data from multiple sources and orchestrate them efficiently. - Unlock scalable data modeling: Support Data Analysts by improving dbt project organization, factorizing jobs, and ensuring quality and scalability of transformations. - Ensure data quality & observability: ...
... industrial applications Practical experience with industrial OT protocols such as OPC UA, Modbus, and Profinet Solid understanding of GxP/CSV validation and data integrity principles Strong command of Infrastructure as Code (IaC) practices and GitOps methodologies Experience with observability tools like Prometheus, Grafana, ...
Kingfisher plc poszukuje Senior Quality Engineer (Data) do zespołu Data Engineering. Rola obejmuje zapewnienie jakości, niezawodności i integralności danych, wspierając decyzje biznesowe poprzez wysokiej jakości dane. Doświadczenie z PySpark, Databricks, dbt, Great Expectations i testami w CI/CD jest kluczowe. Praca w modelu ...
... for data annotation pipelines, optimizing both cost and quality of delivered datasets Analyze annotated datasets, ensuring their high quality, finding potential biases and risks in using them for training ML models Dive into the details including occasionally annotating data yourself, providing feedback for existing tools ...
... Responsibilities: Architect the Metadata Strategy: Define and lead the evolution of our Active Metadata framework within our Data Lakehouse platform. Enhance Data Discoverability: Design and implement patterns that make data easily searchable and understandable across the enterprise, utilizing tools like Databricks Genie ...
... role involves collecting business needs, designing architectures, and ensuring quality deliverables. Key qualifications include technical expertise, fluent English, and knowledge of data integration. The position offers a hybrid working model and various perks including courses, wellbeing programs, and private healthcare.