1 to 25 of 93 Permanent 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 »

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 »

data reliability and quality, combine raw information from different sources to create consistent data sets. The Data Engineer will need to be proficient in DataOps and be able to provide technical expertise to other Data Engineers. Data Engineers will design and build data solutions and integrations which may involve diverse 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 »

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 »

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 »