... (their) expectations with regards to delivery and potential risks/issues., Support AI and GenAI initiatives. Practical experience in managing team as a Scrum Master or Team Leader in IT systems development., You have knowledge and practical experience in agile project management methodologies (Scrum, Kanban, SAFe)., Professional ...
... 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 ...
... Proven data modelling expertise, especially in the gold layer Hands-on experience with Python (PySpark) for data processing Experience with Data Factory and data pipeline orchestration Experience with ETL / ELT systems. Background in improving and optimising existing data platforms Experience designing scalable data solutions ...
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 ...
... 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 ...
A leading tech company located in Warsaw seeks a skilled Data or Software Engineer with a strong focus on data engineering and software development. You will be responsible for designing and managing data pipelines using Databricks, as well as overseeing Azure infrastructure, including CI/CD processes. Ideal candidates ...
... stakeholders, and leadership - even when the data isn't strong enough yet to support a decision. REQUIREMENTS 5+ years of experience in product, marketing, or business data analysis. Strong SQL skills for analyst work: querying and aggregating warehouse data (not building ETL pipelines). Hands-on Tableau/Power BI experience as a ...
As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines. You will own the end-to-end lifecycle of high-quality data acquisition, annotation ...
... 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 ...
... ekspertów z dziedziny procesowania i analizy danych w ramach Centrum Kompetencyjnego Data & Analytics. Oferujemy również rozwój w obszarach Data Science, Big Data i Machine Learning. Twoje zadania Projektowanie, budowanie i rozwijanie skalowalnych oraz wysokowydajnych platform przetwarzania danych w architekturze Data Lake ...
... complex implementations. Job Qualifications Platform Expertise: Hands-on experience with the Databricks ecosystem. Proficiency in Unity Catalog is required. Metadata Mastery: Experience in designing metadata-driven architectures. Understanding of "Active Metadata" concepts (e.g., how metadata can trigger workflows, security ...
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 ...
... 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.
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 ...
... 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 ...
HeadHR w Warszawie poszukuje specjalisty w obszarze Consulting IT, który zajmie się rozwojem funkcjonalności AI oraz optymalizacją kodu PySpark i Python. Wymagana jest biegła znajomość PySpark, Python, SQL, oraz doświadczenie w Generative AI i pracy z chmurą Azure.
... 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. ...
... 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 ...
... (preferred) and R), business intelligence tools and cloud technologies (e.g. Azure, AWS) hands-on experience in statistical modelling, machine learning, AI and data visualization complemented by knowledge in the development and use of GenAI applications and large language models; MLOps experience is desirable strong analytical ...
... Development & Innovation: Designing, developing, and maintaining core AI/ML systems directly in production environments, as well as researching new AI methodologies., Data Processing & Automation: Employing Python and advanced SQL to process, automate, and analyze large datasets, ensuring high-quality input data., Data Management ...