76 to 100 of 125 Apache Airflow Jobs in the UK

load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT , Airflow or similar technologies DBT , Snowflake ( added advantage more »

load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT , Airflow or similar technologies DBT , Snowflake more »

Python and DBT for data transformation. Experience in converting SAS-based modules to Python-based solutions. Familiarity with Snowflake for data management. Experience with Airflow or similar technologies is a plus. Desired: Experience with DBT and Snowflake is advantageous. more »

has multiple years of experience using Snowflake as a data tool and can hit the ground running Experience Snowflake Financial services Cloud (Ideally azure) Airflow would be an advantage more »

tools. In this role, you'll lead the development of robust, fully tested data pipelines in Python using cutting-edge platforms like Dagster/Airflow and apply your expertise in real-time data streaming solutions using Kafka. You'll play a key role in expanding their on prem data more »

in Python or PySpark, we encourage you to apply. Python App Developer Requirements: Proficiency with Python or PySpark. Exposure to cloud technologies such as Airflow, Astronomer, Kubernetes, AWS, Spark, Kafka. Experience with Big Data solutions or Relational DB. Demonstrated knowledge of software applications and technical processes within a cloud more »

Data Engineer Experience working with AI frameworks and libraries (PyTorch) Confidence collaborating in a complex and cross-functional teams Strong skills with: AWS, Python, Airflow, Snowflake Interested ? Apply now or reach out to daisy@wearenumi.com for further details and a chat more »

hands on and will require exposure to some essential tools and a high level of financial knowledge. Good exposure to AWS technologies is essential, Airflow would be desirable. Experience with batch processing is required. Experience working with a Linux environment. Scripting exposure within either Python, Bash or Shell scripting. more »

to-end from scoping, designing, coding, release and continuous monitoring in production environment •ELT pipeline: Experience with ELT pipeline and orchestration systems such as Airflow •Database systems: Experience working with one of more of non-SQL databases such as Druid, Elasticsearch and neo4j •AWS: Experience deploying and managing applications more »

in a SaaS or B2B environment Ability to interact with clients and facing off to internal stakeholders Experience working with integration tools e.g. ActiveBatch, Airflow, Talend ESB and/or other ETL tools In return you'll get the opportunity to work in a fast paced, dynamic and highly more »

well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding of its ETL frameworks. Desired : experience with data pipeline and workflow management (Airflow, Composer). Desired : Familiarity with machine learning algorithms and data science principles is a plus. Qualifications Degree in Computer Science, Engineering, or related field. more »

Technologies and data eco system, AWS is preferable. Expert in development of data pipeline based on Pyspark and SQL with orchestration tools such as Airflow, Tivoli etc Knowledge of OLAP implementation on any Database technologies (Snowflake preferred) Excellent understanding of Data Engineering methodologies, with the ability to explore new more »

within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field. Experience in workflow management systems such as Apache Airflow. Familiarity with Research Data Management methodologies,modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI more »

within the EU Fusion programme and connections to international HPC communities, showcasing contributions made to the field. - Experience in workflow management systems such as Apache Airflow. - Familiarity with Research Data Management methodologies, modern database technologies including SQL, NoSQL and Graph Databases, and parallel file access technologies such as MPI more »

in languages like Python, CloudFormation, Terraform, or your language of choice.Comprehensive understanding of data engineering tooling, including but not limited to BigQuery, Segment, Kafka, Airflow, Airbyte, and DataHubPassion for finding and implementing efficiencies in data flowsAbility to work individually and facilitate initiatives with minimal oversight.Great stakeholder management, communication, and more »

4.Monitoring and Logging: Implement and maintain monitoring, logging, and alerting solutions. Key technologies: AWS, VPN, VPC Peering, EC2, S3, Lambda, Aurora, Docker/Kubernetes. Apache Airflow, AWS networking concepts such as VPN, VPC peering, subnets, security groups, NAT gateways. AWS CloudWatch or equivalent. Kafka or similar data streaming more »

4.Monitoring and Logging: Implement and maintain monitoring, logging, and alerting solutions. Key technologies: AWS, VPN, VPC Peering, EC2, S3, Lambda, Aurora, Docker/Kubernetes. Apache Airflow, AWS networking concepts such as VPN, VPC peering, subnets, security groups, NAT gateways. AWS CloudWatch or equivalent. Kafka or similar data streaming more »

trends and best practices. Qualifications: Expertise in Java and Python development (Essential). Experience with Spark or Hadoop (Essential). Knowledge of Trino or Airflow (Desirable). Proven ability to design and implement scalable and secure solutions. Excellent communication and collaboration skills. more »

proficiency GIT proficiency Linux use and admin Experience deploying cloud services (AWS is a bonus) Experience with Docker and Kubernetes Using frameworks such as AirFlow ML background - PyTorch for computer vision This is a fully remote role which comes with: Budget for WFH set up. Stock options. 25 days more »

engineers to assist with technical work in agreed territories Key skills/knowledge: Expertise in GCP Experience in Python , SQL Knowledge and expertise in Airflow , Dataform, Git Previous experience working in a team in one of the following functions: data analytics, software or application development, database development Previous experience more »

a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orchestration (Kafka) On-Prem SQL more »

knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc Strong proven knowledge of Kimball/Dimensional data modelling and/or Data vault If you are interested in applying for more »

tooling: containers (e.g., Docker) container orchestration (Kubernetes/K8s) CI/CD experience Version control (Git, Github, Gitlab) Orchestration/DAGs tools (e.g., Argo, Airflow, Kubeflow) Infrastructure as Code (Terraform, etc.) HOW TO APPLY Please register your interest by sending your CV to niall.wharton@@xcede.com or click the Apply more »

Experienced creating data pipelines on a cloud (preferably AWS) environment CI/CD experience Containerization experience (Docker, Kubernetes, etc.) Experience with SQS/SNS, Apache Kafka, RabbitMQ Other interesting/bonus skills – Airflow, Trino, Apache Iceburg, Postgres, MongoDB You *must* be eligible to work in your chosen more »

Key technical experience: Ability to operate in a fast changing environment. Fluent in English Previous cloud based infrastructure experience, particularly with AWS. Experience using Airflow and dbt Expert SQL knowledge Solid understanding of Dimensional Data Modelling. Experience with at least one or more of these programming languages: Python, Scala …/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal with ambiguity and change. A self-starter who's able to work independently where necessary more »