... Technology: Translate business requirements into data needs, defining data models and setting standards for data providers. Work within Data&AI squads, collaborating with data engineers, data analysts, and data scientists to leverage a wide ...
... two highly skilled and experienced Data Engineers who will join a ... as internal databases, IoT data, fleet data, and third-party sources Ensuring seamless integration of data into the Data Lake, adhering to data quality and consistency standards Utilizing ...
... to help managers and research analysts, make better and faster decisions based on data. Keep oversight of portfolio of projects related to different data solutions using BI, Data Science, ML and AI technologies. ...
... , including data engineers, business analysts, and stakeholders, to ensure BI ... solutions align with business requirements. Testing and Validation : Conduct testing to validate data accuracy, performance ...
... the integrity and accuracy of data structures by following best practices in data architecture. Data Migration: Lead and execute data migration strategies from legacy systems ... work in a team. Theoretical Data Governance knowledge Willingness to take ...
... support of Product Managers and Data Analysts requests. Why is it worth working with us: Data plays a key role in the operation of Allegro - we are a data-driven technology company, and through ...
... potential enhancements to the existing data architecture. • Monitor performance and optimize data processing flows. • Collaborate with Business Analysts, Subject Matter Experts, and Tech ...
... : Proven experience as a master data analyst or in a similar role, and data migration. Experience from other enterprise- ...
... . Were seeking an experienced Senior Data Analyst to join our team to implement tooling and design data pipelines that seamlessly collect, process, and analyze data from our payment systems. Your ...
... to determine data quality and data integrity Rigorously test data infrastructure components to comply with ... an emphasis around data integrity and data quality Familiarity with data streaming and or event-driven data pipelines will be considered an ...