... 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 ...
... , implement, and optimize the market data management process using big data technology for data ingestion, data processing, data integration, data lake storage and data analytics. The HDM quantitative work ...
... processing of my personal data included in the CV, recruitment ... . The controller of personal data is L’Oréal Polska Sp. ... . The processing of personal data is carried out for the ... processing of your personal data should be sent to the ...
... defined quality protocols) on sample data as requested. Data Onboarding: Understand the data format agreed with the Supplier ... Ingestion any other Input platform Data cleaning, verification and classification as ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ...
... Works with large volumes of data; extracts and manipulates large datasets ... and knowledge into long – term data science solutions that add value ... , etc.) Analyses techniques to organize data in visually innovative ways in ...
... support. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Strong project management skills, ... latest advancements and trends in data engineering and related technologies. We ...
... IT with a focus on Data Engineering. Experience with designing data platforms on AWS. Including designing ... relational and non-relational databases, data warehouses, ETL ELT processes, and data management tools. Experience with various ...
... in our ability to leverage data, knowledge, and prediction to find ... . They support the head of Data Engineering in building a strong ... Deep experience with common big data tools (e.g., Spark, Kafka, ...
... proven track record of managing data pipelines in complex data landscapes. Data Architecture Knowledge: Solid understanding of data integration methods, ETL ELT processes, ...