... 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. ...
... requirements and ensure seamless integration of data sources., Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing., Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads., Write and maintain high-quality Python (or Java/Scala) ...
... revenue impact and collaborate with some of the world’s largest AI companies. Responsibilities: Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata. Map customer requirements to our existing metadata and apply data modelling ...
... 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 ...
... 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 ...
... with Technology teams to onboard source-system data, define data requirements, and support future-state Credit Risk data architectures. - Develop and enhance data transformation, validation, reconciliation, and automation processes to improve efficiency, scalability, and data quality. - Create reusable code frameworks, ...
... (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements and migration of data from one system to another. - Data Quality, Profiling and Cleansing - Capability to review (profile) a data set to establish its quality against a defined set ...
... More about us The Data & Analytics Services organization within Automation Business delivers and supports analytical data products, reporting solutions, and data-driven decision support capabilities across multiple divisions. Our mission is to enable business value through scalable analytics solutions, strong data governance, ...
... 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 ...
We are looking for a Data Engineer - Process Mining to join our team. In this position, you will be responsible for ensuring the availability, quality, and reliability of data required for Process Mining by designing, integrating, and maintaining scalable data pipelines, datasets, and data models. The primary focus is on ...
... and developing data pipelines for reliable and efficient data flows. Ensuring data availability and security in the central storage layer. Collaborating with data stakeholders to support data-driven initiatives. Implementing best practices in development, testing, and deployment. Optimizing use of AWS services for data ...
... relevant key performance indicators (KPIs), standard reports, and ad-hoc analyses based on our Customer Data Platform. You work in close coordination with our Data Engineering team to design the required analysis datasets. Process Automation: You transform manual queries and data preparation tasks into automated pipelines ...
... way we engage with our clients and our role in influencing the companies and the markets we invest in. Data Protection Analyst We are looking for a motivated Data Protection Analyst to join the Data Office department. The objective is to deploy data management framework by providing a support to all data domains (Product, ...
... utrzymywanie Data Martów na platformie danych, - wsparcie użytkowników platformy danych. Nasze wymagania - doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, - doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, - bardzo ...
... na platformie danych, wsparciu użytkowników platformy danych. Jeśli jesteś osobą, która: posiada doświadczenie w pracy z hurtowniami danych, rozwiązaniami Big Data oraz narzędziami BI, posiada doświadczenie w pracy z chmurowymi platformami danych lub rozwiązaniami Data Lakehouse, mile widziane doświadczenie ze Snowflake, ...
Obowiązki - prowadzenie regularnych audytów wewnętrznych z zakresu ochrony danych osobowych (w biurach oraz na halach produkcyjnych), - bieżąca aktualizacja i prowadzenie Rejestru Czynności Przetwarzania (RCP) oraz Rejestru Kategorii Czynności Przetwarzania (RKCP), - monitorowanie systemów informatycznych (IT) oraz