6 of 6 Apache Airflow Jobs in Glasgow

following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that ...

Knowledge of regulatory reporting and treasury operations in retail banking Exposure to Python, Go or similar languages. Experience working with orchestration frameworks such as Airflow/Luigi Have previously used dbt, dataform or similar tooling. Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process ...

. Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices . Soft Skills: Excellent problem-solving, communication, and leadership abilities. ...

habits. Is highly capable with Python and SQL in real data engineering environments. Has experience with modern data tooling such as Snowflake, dbt, Dagster, Airflow, AWS, or similar. Understands data modelling principles and can apply them pragmatically. Cares about testing, monitoring, alerting, and data quality. Thrives in a startup ...

services and tools, such as Salesforce, Segment, HubSpot, Stripe is beneficial Experience with SQL and data warehousing/pipelining tools such as BigQuery, Airflow, etc Proven experience in navigating and transforming legacy codebases, as well as leading greenfield projects ...

based data pipelines for ingesting, transforming, and storing large volumes of data. Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow o r Dagster . Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities. Contribute to geospatial data processing workflows using … tools such as Apache Sedona and native Iceberg geospatial functionality. Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams. Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components. Collaborate closely with ...