1 to 25 of 91 DataOps Jobs

. Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL frameworks and tools. Understanding of DataOps, data mining, and data visualization/BI tools. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. If you are a skilled and more »

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Experience in the following things isn't essential, but it's highly desirable more »

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Desirable Experience Experience in the following things isn't essential, but it's highly desirable more »

optimising data pipelines, architectures, and datasets Familiarity with Medallion architecture and data lakes. Experience with data integration and ETL/ELT processes. Knowledge of DataOps principles and experience with CI/CD tools Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Ideally we would be looking for more »

decision making across health and justice sector programmes Knowledge of any of the following would be a bonus: experience building CI/CD pipelines (DataOps) for data processing solutions and integrating DevOps practices into your daily work experience working with source control systems such as Git awareness and/or more »

improvement solutions yield measurable results with significant return on investment. About the role The Data Engineer will be part of a team that follows DataOps best practices and owns the standardized data assets and the processes around it that support our products and enable their customers and internal teams. The more »

with the best products. Skills and experience we’re looking for: Experienced data engineering within either Oracle or Snowflake and AWS, working knowledge of DataOps and CI/CD. Ability to write clean, maintainable, and robust code in SQL or Python. Scala, Java or similar languages would be advantageous but more »

with the best products. Skills and experience we’re looking for: Experienced data engineering within either Oracle or Snowflake and AWS, working knowledge of DataOps and CI/CD. Ability to write clean, maintainable, and robust code in SQL or Python. Scala, Java, or similar languages would be advantageous but more »

Azure Synapse/Data Factory, DBTCloud, Azure DevOps Industry recognised badges/certificates on any of the following methodologies: Scrum/Kanban, DevOps/DataOps, Dimensional Data Modelling (Kimball) Additional Information The brand with the brolly is choosing today to change tomorrow. Since 1836, we’ve grown to become one more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »

value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often more »