... the development and maintenance of Data Lake and data cubes, handling tasks such as data ingestion, creating ETL and deployment ... . A solid technical understanding of data architectures and data warehousing principles. English: professional working ...
... focus on AI and Big Data has earned us recognition by ... to drive innovative projects in data science and big data. Discover our perks and benefits: ... and mentor a team of data scientists, ensuring they are engaged, ...
... optimizing both SQL and noSQL data stores (MS-SQL, Hive), as ... with them, collaborate with the data analysts and UX researchers to create ... , as well as optimizing the data in the permanent data store. Information about team: The ...
... highly skilled and motivated Senior Data Analyst to join our skilled Fraud & ... ambiguous business questions and leverage data analytics to deliver actionable insights ... and payments. Engage with other analysts to share knowledge and collectively ...
... , you will help drive data-informed decisions and contribute to ... collaborate with product specialists, data scientists, developers, and UX designers ... position as a digital analyst, CRO analyst or web traffic analyst Experience in SQL (especially Big ...
Data Analyst (Regex, Azure, SIEM) B2B via ... within the Azure Monitor data pipeline and requires identification of ... applied directly within the data pipeline. Smart results: At least ... diverse formats and schema’s Data Wrangling. KQL, Regex, Grok Experience ...
... professional experience in Business Intelligence, data visualization and analytics, Proficiency in ... ), Strong knowledge of databases and data modeling concepts with practical experience ... solutions and their usage in data analytics space. By joining us ...
... link ). An ever-evolving behavioral data platform, enhanced by AI to ... ) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another ...
... Pyspark for data processing and transformation. In-depth ... . Familiarity with data modeling, data warehousing concepts, and dimensional modeling techniques. Understanding of data integration patterns, data lakes, and data quality best practices. Proficiency ...
... understanding of big data aspects like data storage, modeling, processing, scheduling etc. ● data modeling and data storage experience ● ensuring solution quality ... Python scripts for data extraction, focusing on data snapshots with hundreds of millions ...