... 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 ...
Data & AI Solutions Architect Miejsce pracy: Gdańsk Technologie, których używamy Wymagane - ETL/ELT - AI / GenAI / MLOps O projekcie Dla naszego klienta poszukujemy doświadczonej osoby na stanowisko Data & AI Solutions Architect. Rola ta obejmuje projektowanie kompleksowych rozwiązań z obszaru danych i sztucznej inteligencji ...
Poland, Gdańsk
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FALCK DIGITAL TECHNOLOGY POLAND SPÓŁKA Z OGRANICZONĄ ODPOWIE...
... SQL and advanced Excel skills, combined with experience using data-quality, data-transformation, or similar tools., Experience working with sensitive employee data in a controlled environment, with a strong understanding of data quality, data governance, and data-management principles., The ability to analyse data issues, ...
... specific products and components Act as a data advocate and work to remove business, technical and political roadblocks Mentor and coach clients and team members in data & analytics best practices Manage consulting engagements, overall delivery and the quality of the output Ensure the strategy is actionable and well documented ...
... stakeholders. Main Responsibilities Design, build, and maintain scalable data pipelines for internal banking 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 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 ...
... specific products and components Act as a data advocate and work to remove business, technical and political roadblocks Mentor and coach clients and team members in data & analytics best practices Manage consulting engagements, overall delivery and the quality of the output Ensure the strategy is actionable and well documented ...
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
... and ensure compliance with DORA requirements, Identify data quality issues, inconsistencies, and risks, and propose remediation actions, 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, ...
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 ...
... through data-led strategies. This role is responsible for driving insight-led targeting strategies, providing audience targeting recommendations, and Teads' data capabilities to both internal and external teams. You will be responsible for initiating new data solutions with local data partners and will also support the ...
... them into technical solutionsEnsure data quality, consistency, and performance optimization across reporting solutionsWork with modern data platforms such as Databricks for advanced data engineering and analytics use casesDevelop scripts and automation using Python for data processing and integration in Databricks environmentUse ...
... 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 ...
... closely with Product Architects and product teams to shape technical direction and non-functional requirements. Design and implement robust services, APIs and data pipelines, ensuring scalable and maintainable solutions. Drive best practices within code quality, testing, automation and observability. Evolve CI/CD pipelines ...
... pipelines, indexing strategies, metadata management, and RAG policies that give agents access to enterprise knowledge at scale Own security, compliance, and quality at the architecture level: PII handling, authorization models, access control, agent quality metrics (factuality, hallucination rate, latency, cost per query), ...
... service providers, ensuring their solutions seamlessly connect with Allegro’s core infrastructure (including payments, search, UX, and loyalty programs). Building data heavy products: Work with ML/DS team, building data products for millions of Allegro Customers. Managing complexity: Work at the intersection of business vision ...
... specific products and components Act as a data advocate and work to remove business, technical and political roadblocks Mentor and coach clients and team members in data & analytics best practices Manage consulting engagements, overall delivery and the quality of the output Ensure the strategy is actionable and well documented ...
... and maintain scalable data pipelines and data solutions. Work extensively with Snowflake and SQL to transform, integrate and manage data. Develop and optimize data processing workflows to ensure performance, reliability and data quality. Integrate data from multiple sources and support efficient data flows across systems. ...