Our team drives the solutions that build a trustworthy marketplace. As a collaborative group of Data Scientists, Data Engineers, and Analysts, we develop the statistical models, products and business rules necessary to analyze and continuously enhance our Product Catalog. We oversee the quality and correctness of all product ...
... focus on cutting‑edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. Your Task - Build and optimize data pipelines (ETL/ELT) on Google Cloud. - Develop data lakes and warehouses using BigQuery and cloud-native services. - Ensure data quality, security, and performance. ...
... sense Ensure data quality and apply statistical thinking in real business contexts You're a perfect match for the role, if: You have 2–4 years of experience in data analytics or a similar role You’re confident with SQL and have worked with analytical datasets You use Python for data analysis You have hands-on experience with ...
... 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, ...
... join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals ...
... designing, building, and maintaining the systems that underly data-driven decision-making. Your primary responsibility is to ensure the efficient and reliable flow of data from various sources to support business intelligence, investment, and asset management. How you will get the job done developing production-quality software ...
... Strong analytical and problem-solving skills, with careful attention to data quality and detail. Curiosity and a willingness to understand scientific questions, data, and workflows. A relevant degree or equivalent practical experience in data science, computer science, statistics, bioinformatics, natural sciences, engineering, ...
... exceptions to identify root causes and develop solutions., Enhance governance of adjustments by analyzing root causes and documenting change requirements., Improve data quality captured during adjustments and develop tooling for clearer adjustment review., Manage resolution of data exceptions via stakeholder engagement, testing, ...
... knowledge of modern data architecture concepts, including distributed data platforms and scalable data management approaches, Practical experience with cloud-based data environments, data modeling, and SQL, Understanding of data governance, reference and master data management, metadata, lineage, and data quality practices, Experience ...
... Experience in data engineering, data science, or related field. Proficiency with data architecture and data processing tools. Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer. Experience with Power BI, DAX, and Tabular ...
... applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements ...
... possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role As a Data Analyst you will lead complex process mining programs and ensure high-quality outcomes, support business transformation initiatives, and guide stakeholders in ...
Billennium is seeking an experienced Data Modeller (Data Analyst / Architect) to join a long-term pharma-domain project. You will design and implement high-quality data models aligned with architecture standards, governance, and long-term data strategies. Work with Business Analysts and Delivery teams to translate requirements ...
... a data related area, 5+ years in the field of Data & Analytics, preferably in the area of Commercial/Marketing, e.g. eCommerce, CPG/FMCG industry - Excellent data architecture & technology knowledge, data engineering & data management skills (e.g. data quality). - Excellent Technology knowhow in Azure Databricks, ADF, Azure ...
... decision-making from discovery through early development. In this role, you will help translate business strategy into scalable digital solutions that support high-quality data insights. By connecting data, platforms, and processes, you will contribute directly to our mission to de-risk decisions and increase productivity across ...
... project-related activities, including preparing reports and status updates for stakeholders supporting project and portfolio reporting activities within the Data & AI Strategy & Portfolio team monitoring project data quality and carrying out compliance and process checks identifying improvement opportunities in PMO processes ...
... payroll data to ensure absolute alignment with internal policies and German regulatory standards. - Continuous Improvement: Proactively identify patterns in data errors and uncover opportunities to improve data quality, streamline workflows, and eliminate manual fixes. - Integration & System Support: Oversee and understand ...
... 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) ...
... 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 ...