... implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments., Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy., Driving best practices in data engineering: quality assurance, lineage, ...
... sharing knowledge and solving problems together At least 5-6 years of experience working as a Data Engineer, with a focus on Google Cloud Platform Data and Analytics., Strong hands-on experience with Python, dbt, and Airflow, Solid working knowledge of BigQuery and the wider GCP data stack, Experience in data modelling, ...
... Platforms, IoT, ML, Backend, Mobile, etc.)Profound knowledge of the technology's internals for at least 1 technology domainSolid understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areasWide experience in design, ...
O projekcie Dla naszego klienta, firmy z sektora bankowego realizującej nowoczesne projekty z obszaru Data & Technology, poszukujemy doświadczonego Data Platform Developera, który dołączy do zespołu rozwijającego skalowalną platformę danych opartą na architekturze event-driven. Szukamy osoby, która dobrze czuje się w świecie ...
We are looking for a passionate Senior Data Scientist who is eager to make an impact on their career and take on a new challenge! P&G Scaled Data Science Hub in Warsaw is dynamically growing and making impact across most key algorithmic investments of the Company. We work across problems and algorithmic products related ...
... with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience. The role: Development and automation of tools in the Data Platform area Supporting the Client's product, technical, and analytical teams in building products, including technology solutions and data-driven services Assisting ...
EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. In this intensive course, you will dive deep into statistics & data analysis, understand regression, classification and clustering techniques, as well as explore neural network basics. ...
... znajomość metod optymalizacji; - bardzo dobra znajomość zagadnień dotyczących baz danych; - praktyczna znajomość zagadnień przetwarzania w systemach klasy Big Data (Spark, Hadoop); - znajomość rozwiązań analitycznych i uczenia maszynowego dostępnych w chmurze (Azure, AWS). Co będzie należało do Twoich obowiązków: - praca ...
... środowisk multi-tenant. Definiowanie wzorców dostarczania danych z wykorzystaniem mikrousług i podejścia API-first (REST/GraphQL) oraz change data capture (Pub/Sub, Datastream). Projektowanie opartego na BigQuery hurtowni danych / Lakehouse, wspierającego zarówno przetwarzanie wsadowe (batch), jak i strumieniowe (Dataflow). Wdrażanie ...
... decision traceability by linking research, strategies and portfolio actions in a lineage graphIdentify and integrate structured, unstructured and semi-structured data sourcesDevelop logical data models and establish comprehensive data catalogs with metadata registrationImplement Role-Based Access Control (RBAC) and Property-Based ...
... ubezpieczenie na życie Pełna odpowiedzialność za warstwę danych i infrastrukturę - realne decyzje architektoniczne Dostęp do konferencji i szkoleń z obszaru DevOps, data engineering i systemów rozproszonych Jak będzie wyglądać proces rekrutacji Aplikacja – po otrzymaniu CV wracamy z informacją zwrotną Rozmowa wstępna (HR) – wzajemne ...
WYMAGANIA: Minimum 4 lata doświadczenia na stanowisku Data Engineera lub w pokrewnej roli Bardzo dobra znajomość Python oraz SQL Doświadczenie w budowie i utrzymaniu pipeline’ów danych (ETL/ELT) Praktyczna znajomość pracy z danymi ustrukturyzowanymi i nieustrukturyzowanymi (transformacje, normalizacja, przygotowanie) Umiejętność ...
... and recommendations: understand product and data-related needs, and effectively collect requirements, then plan the end-to-end process; work closely with our data engineers to design, build, and maintain game data pipelines, aligning them with specific reporting and analytics requirements; conduct complex exploratory and ...
... systems and external data providers. Develop and optimize data models for corporate lending domains, including loan origination and repayment history. Implement data quality checks, validation rules, and data lineage. Manage and evolve the data warehouse and lake for analytics and reporting. Ensure compliance with regulatory ...
... and execute automated test solutions for ETL and data integration processes - Validate data ingestion, transformation, and loading processes across multiple data sources - Develop and maintain test automation frameworks for data platforms - Create and execute test cases for Azure Databricks and Azure Data Factory pipelines ...
130 - 160 zł / stawka godzinowa
Forma współpracy: Kontrakt B2B z IT LeasingTeam. Długofalowy kontrakt z gwarancją rozwoju w zespole wybitnych ekspertów technicznych, Tryb pracy: W pełni zdalny
Zasugerowane
Stawka godzinowa
Praca zdalna
... Define and document data collection and governance processes, Act as a data owner for selected DORA ROI data domains during BAU operations, Monitor and improve data quality, completeness, and accuracy, Support regulatory reporting, audits, and continuous process improvements Experience in Data Analysis, Data Management, or ...
Expected, SQL, Google Analytics, BI tools Optional, Python, Databricks Operating system, Windows, macOS About the project, As a Data Analyst focusing on Digital Commerce you will empower the Digital Business Department to make impactful, data-driven decisions ...
... validate business requirements for reporting and analytics solutions. Analyze, profile, and model data sources (logical/physical). Write SQL queries to support data analysis and integrations. Define and document data product specifications. Support testing activities (SIT, UAT) and ensure data quality. Troubleshoot data issues ...