1 to 25 of 42 Apache Airflow Jobs in the East of England

quickly and apply new skills Desirable Solid understanding of microservices development SQL and NoSQL databases working set Familiar with or able to quickly learn Apache NiFi, Apache Airflow, Apache Kafka, KeyCloak, Serverless Computing, GraphQL, APIs, APIM Good skills working with JSON, XML, YAML files Knowledge in More ❯

quickly and apply new skills. Desirable: Solid understanding of microservices development. SQL and NoSQL databases working set. Familiar with or able to quickly learn Apache NiFi, Apache Airflow, Apache Kafka, KeyCloak, Serverless Computing, GraphQL, APIs, APIM. Good skills working with JSON, XML, YAML files. Knowledge in More ❯

learn, PyTorch, Pandas, NumPy, SciPy. Experience with AWS (EC2, S3, SageMaker) or Azure/GCP equivalents. Experience designing, developing, and deploying scalable infrastructure (e.g., Apache Airflow, Luigi). Object-oriented programming concepts and design. Ability to create well-documented, modular, and unit-tested code. Understanding of Agile development More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on experience in Orchestration solutions such as Airflow >Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability More ❯

modeling . Excellent problem-solving and communication skills focused on delivering high-quality solutions. Understanding or hands-on experience with orchestration tools such as Apache Airflow . Deep knowledge of non-functional requirements such as availability , scalability , operability , and maintainability . #J-18808-Ljbffr More ❯

data modeling. Excellent problem-solving and communication skills focused on delivering high-quality solutions. Understanding or hands-on experience with orchestration tools such as Apache Airflow. Deep knowledge of non-functional requirements such as availability, scalability, operability, and maintainability. Seniority level Seniority level Mid-Senior level Employment type Employment More ❯

/CD practices. Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes. Ability to provide clear input, guide, opportunities to help engineers develop and advance. More ❯

NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and analysis. Data pipeline and workflow management tools: Luigi, Airflow, etc. AWS cloud services: EC2, S3, Glue, Athena, API Gateway, Redshift. Experience with object-oriented and scripting languages: Python, R. Designing and building APIs More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. >Understanding/hands on experience in Orchestration solutions such as Airflow >Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. - Understanding/hands on experience in Orchestration solutions such as Airflow - Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on experience in Orchestration solutions such as Airflow Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability #J-18808-Ljbffr More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on experience in Orchestration solutions such as Airflow Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability If this sounds like a role you would be interested More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. • Understanding/hands-on experience in Orchestration solutions such as Airflow • Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability Evaluation will be done according to below: Area of Assessment More ❯

Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. Understanding/hands on experience in Orchestration solutions such as Airflow Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability Seniority level Seniority level Mid-Senior level Employment type Employment More ❯

SQL Server) and large-scale data processing through ETL pipelines. Familiarity with Git or MS Visual Studio TFS, data orchestration tools like ADF, AirByte, Airflow, or Luigi, and a high competency in SQL are required. The role demands confident programming skills (C#, Python, or JavaScript) with a focus on More ❯

based models in production is a plus), including identifying the right KPIs and objective functions Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java, Python, C++) Experience building in-production NLU and/or ASR systems Bachelor Degree required. MS in Computer Science or More ❯

as needed. You will need Proficiency in SQL and programming languages like Python Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt Experience working with cloud platforms e.g. Azure Knowledge of data lakes and data warehouses concepts and distributed systems like Kafka, Spark etc. More ❯

NoSQL databases, including Postgres and Cassandra. Experience designing and implementing knowledge graphs for data integration and analysis. Data pipeline and workflow management tools: Luigi, Airflow, etc. AWS cloud services: EC2, S3, Glue, Athena, API Gateway, Redshift. Experience with object-oriented and scripting languages: Python, R. Designing and building APIs More ❯

An understanding (doesn’t need to be experience of) of Cloud Technologies. Development of data pipeline based on SQL with orchestration tools such as Airflow or Tivoli scheduler. Intermediate programming skills around Python. Awareness of CI/CD practices. We’re looking for confident communicators who can break down More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯

software, such as Scientific Data Management Systems (SDMS) or Laboratory Information Management Systems (LIMS). Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and data parsing. Familiarity with cloud service models, SaaS infrastructure, and related SDLC. Familiarity with containerization and container orchestration tools (e.g., Docker More ❯