primary role of the Data Protection Officer is to ensure that all data subjects (data from, staff, customers protected and conform to data governance policies. • Enforcing the Data Management and Data Breach Prevention and follow up on logs with card data and personal data and ensure data subjects are stored correctly or especially in a Hybrid environment. • Knowledge of Data Lost and Data Classification. • Good communication skills
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent such as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements systems, are understood and adopted relating to data collection, integration and retention requirements
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
searching for a technical specialist. The purpose of the Data Specialist is to use their database, software engineering the necessary data is properly stored on the cloud platform and is available to the data scientists. Experience modelling of data Systems engineering and implementations experience Experience on the data services on Plan Design Data modelling using: Table structures Store Procedures SSIS Packages SQL Cloud Data Services: Implementing data pipelines using cloud infrastructure and services No-SQL experience on the cloud Data engineering
of an Intermediate Data Engineer who will play a crucial role in leveraging data-driven insights to drive measuring the success of data science initiatives. Design and implement data visualisation tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modelling SQL. Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be
have an open role for a Data Engineer to execute data engineering duties according to maintain complete data architecture across several application platforms
recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets.
Responsibilities:
soundness of medical schemes requires a Senior Data Analyst to join their team and conduct ong>
Intermediate Data Engineer who will play a crucial role in leveraging data-driven insights measuring the success of data science initiatives.
We believe these three words capture the essence of what we do every day. Shape matters to Hexagon. Shape Hexagon is bridging this gap through meaningful data and ideas that empower customers to reach their Customers and payment received (confirmed with Finance Dept). If no payment yet follow-up with customer. Print Customer Master Data Working with Sales Force, checking Customers created, maintain master data for all customers of any credit notes Notify Customer/Rep/Accounts Dept. Scan and file correspondence Maintaining of CCP's