1 to 25 of 101 DataOps Jobs

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 »

organization. Define the agile framework and processes enabling every function to turn requirements and ideas into insights that support data based decisions. Adopt DevOps, DataOps and MLOps frameworks and best practices as the standard for all data engineering across the company. Development and monitoring of MI and AI engineering quality more »

developing solutions to drive data-centric decision-making, and upholding data quality and organisation standards. Strong skills in Python, SQL, AWS, Glue, ETL and DataOps principles is essential. Core skills for this Data Engineer role: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS more »

developing solutions to drive data-centric decision-making, and upholding data quality and organisation standards. Strong skills in Python, SQL, AWS, Glue, ETL and DataOps principles is essential. Core skills: Strong coding skills in Python & SQL Excellent experience in the AWS Cloud platform, including AWS Glue, Amazon DynamoDB for NoSQL 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 »

Data Warehouse concepts Champion Data Compliance and Data Governance Experience working with Azure Cloud Experience incorporating and integrating AI and ML components Experience in DataOps, MLOps and AIOps Frameworks Proficiency in SQL and NoSQL Proficiency in Python Experience in Data Visualisation Tools such as Tableau, PowerBI, etc. Familiarity with containerisation more »

Experience in data modelling methodologies Experience with evolving technologies i.e. Big Data, Real Time Analytics, Predictive Analytics, Bots Experience with emerging practices i.e. Agile, DataOps 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 »

SQL (any flavor). Comfortable with shell scripting (e.g., Bash) and provisioning new infrastructure in leading cloud providers, preferably GCP or AWS. Experience creating DataOps pipelines. Adept at working in an Agile environment, actively participating in approaches such as Scrum or Kanban. My client is working to a hybrid model more »