... w Rumunii oraz Wielkiej Brytanii. Posiadamy również własne R&D Center, które jest miejscem powstawania innowacyjnych projektów m.in.: w obszarach testów, Big Data, Cloud czy AI.W ramach naszych usług tworzymy szyte na miarę rozwiązania, utrzymujemy i rozwijamy nawet najbardziej wymagające systemy IT. Działamy w takich modelach ...
... 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 ...
... with public cloud providers AWS/Azure. - Database Technologies: Knowledge of SQL and NoSQL databases. - Expertise in Big Data Technologies: Familiarity with big data frameworks and tools like Spark, Kafka, Flink or others, formats such as Apache Iceberg. - Data Modeling and Warehousing: Familiarity with data modeling and warehousing ...
Wymagania Praktyczna znajomość ekosystemu Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Data Factory). Bardzo dobra znajomość PySpark (Python) oraz T-SQL. Doświadczenie z architekturą Medallion oraz projektowaniem schematu gwiazdy (Star Schema). Praktyczna znajomość formatu Delta Lake i technik jego optymalizacji ...
... Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd ...
... direction you want. Responsibilities Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST API, flat files, Streams, Time series data, SAP Research and utilize Big Data technologies for effective data ingestion Process and transform data using tools such as Spark and various Cloud Services Understand ...
... regular audits to identify errors. - Work with external data providers and ensure to receive high-quality data to drive marketing campaigns. - Utilise account data in Salesforce , ensuring it is cleansed and optimised for performance. - Ensure compliance with relevant data regulations , working closely with the Data Protection ...
... 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 ...
... opportunity into a customer engagement Primary career focus on some or all areas of Data & Analytics: Cloud Data Platforms, BI, Data Warehousing, Data Lakes, Data Science & Predictive Analytics Experience managing medium to large-scale software/technology initiatives A keen interest in and passion for the Data & Analytics ...
... 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.
... implementing scalable data solutions using modern cloud data platforms such as Databricks, Microsoft Fabric, and Snowflake; Building, maintaining, and optimizing data pipelines, ETL processes, and system integrations; Designing data models, databases, and data warehouse architectures to support business and analytical requirements; ...
... (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 ...
... squads. Your day-to-day mission: · Coach teams in Agile principles, practices and metrics · Collaborate with the Product Owners to manage backlogs - with good data quality - and realign priorities if needed. · Identify and support in resolving team impediments · Facilitating squad ceremonies to support/develop/improve squad ...
An IT solutions provider in Warsaw is seeking an Informatica MDM Developer responsible for designing, developing, and implementing Master Data Management solutions. Key responsibilities include data integration, quality management, and collaboration with stakeholders to ensure solutions meet business needs. The ideal candidate ...
... 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 ...
... Responsibilities: - Create and maintain data quality rules focused on data completeness and accuracy. - Support the implementation of standard and customized data quality validations for new accounts. - Work with business stakeholders and operational teams to understand data quality requirements and resolve identified issues. ...
About the role As Actuarial Data Scientist you will develop and enhance advanced pricing models, blending actuarial techniques with modern data science. You will work closely with the Lead Actuarial Data Scientist, underwriting experts, and ERGO’s Group Data Science community to deliver AI-enabled solutions that improve ...
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.
... data pipelines, warehousing, and BI reporting. You will collaborate with Data Engineers, BI Developers, and stakeholders to ensure quality, trusted, scalable data-driven insights. Key tasks include driving testing standards, integrating tests into CI/CD, and supporting data transformations and business rules validation ...
... highly regulated life sciences environments. You will be responsible for deploying, integrating, validating, and maintaining secure and GxP-compliant MQTT-based data pipelines running on Kubernetes, ensuring seamless data flow from physical plant floor assets to enterprise analytical systems. This role is fully remote, allowing ...