Typical Responsibilities: Develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development life cycle process as … part of multi-functional Agile delivery teams focused on one or more products. Data Engineers should have the following essential skills: ? Ability to shape solutions in a fit for purpose way, following the agreed principles and contribute to the overall Data Engineer development life cycle. ? Ability to support … the day-to-day testing and produce robust test plans to ensure quality solutions and the live running of data products and services. ? Ability to perform data profiling and quality measurements, ensure dataquality/accuracy, knowledge of structured and unstructured data concepts more »
Typical Responsibilities: Develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development life cycle process as … part of multi-functional Agile delivery teams focused on one or more products. Data Engineers should have the following essential skills: Ability to shape solutions in a fit for purpose way, following the agreed principles and contribute to the overall Data Engineer development life cycle. Ability to support … the day-to-day testing and produce robust test plans to ensure quality solutions and the live running of data products and services. Ability to perform data profiling and quality measurements, ensure dataquality/accuracy, knowledge of structured and unstructured data concepts more »
to become a vital member of our client's 'Centre of Excellence.' In this role, you will play a key part in enhancing system dataquality, executing data cleanse activities, and contributing to various digital agile projects. Key Responsibilities: Utilize your in-depth knowledge of BluePrism to … Collaborate with cross-functional teams to identify automation opportunities, analyse business requirements, and design effective automation workflows Work closely with stakeholders to understand system dataquality issues and develop innovative solutions for data cleansing Contribute to the continuous improvement of the organisation's RPA capabilities and best … automation projects Expertise in designing and developing automation solutions using BluePrism Proficient in analyzing business processes and identifying opportunities for automation Sound knowledge of dataquality principles and experience with data cleansing activities Excellent problem-solving skills and the ability to work effectively within a dynamic, agile more »