... developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components [at least 5 years] Advanced programming experience and big data experience [at least 5 years ...
... to cross-divisional data governance and architecture meetingsFocus - Data architecture - Data governance - Database Data warehouse Data lake - BI Data science - Data security and privacyDesired background - ... trust in data management - tech for good sits ...
... security, and availability of data assets to support business operations, ... stakeholders and present data governance concepts effectively. Ability to ... of methods : To ensure data quality, including data cleansing, validation, and integration. Policies: ...
... Organization of Lighthouse serving a big part of the data needs for the company. We ...
... , logical, and or physical data models and metadata for new and existing ICT solutions Ensure diagrams representing the data landscape, data flows, and data lifecycle are created and maintained ... , or ensuring trust in data management – tech for good sits ...
... Work with Data analytics expert in assisting in the design of robust solutions for data analytics and data science Keep up to date with latest data technology and trends, ensure with ... ensuring trust in data management – tech for good sits ...
... with large-scale, complex and big data datasets and dispersed data sources.Using Advanced SQL and ...
... and experienced Technical Data Lead to join our team. Working on Big Data environments and projects such as Global Data Lake, and including our focus ... to the data team, ensuring the successful implementation of data projects and initiatives. One of ...
... (Beneficial).Experience building and optimizing data pipelines in a Spark ‘big data’ environment.Experience working in Big Data architecture; Hadoop, HDFS, Kafka, etc. ...
... . Strong knowledge and experience in data and AI technologies, tools, and platforms, such as cloud computing, big data, data warehousing, data engineering, data science, machine learning, deep learning, ...