26 to 50 of 928 Permanent Apache Airflow Jobs

tactical data to common standards Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC. Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh. Experience with troubleshooting tactical systems Experience deploying, monitoring, and improving tactical data pipelines Strong problem-solving … team environment. Preferred Skills and Experience: Experience integrating systems with Tactical Assault Kit (TAK) ecosystem. Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake. Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS. Expertise in Elasticsearch ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch … streaming patterns Transformation and quality: dbt, Great Expectations and equivalent tooling Orchestration: Apache Airflow and cloud-native orchestration services Event streaming: Kafka and cloud-native event-streaming technologies Data modelling: Dimensional, analytical and domain-oriented modelling Data governance: Catalogue, metadata, lineage, quality, security, privacy and access controls Data ...

tactical data to common standards Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC. Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh. Experience with troubleshooting tactical systems Experience deploying, monitoring, and improving tactical data pipelines Strong problem-solving … team environment. Preferred Skills and Experience: Experience integrating systems with Tactical Assault Kit (TAK) ecosystem. Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake. Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS. Expertise in Elasticsearch ...

platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta Lake, ApacheIcebergand open table formats Data pipelines:Enterprise-scale ETL/ELT,batchand streaming patterns Transformation … quality:dbt, Great Expectations and equivalent tooling Orchestration:Apache Airflow and cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed ...

using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence … Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systemsDemonstrated experience using enterprise-authorized AI capabilities within ...

Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Data Warehouse and Data Lake architectures. Experience with orchestration tools such as Airflow, ADF, or equivalent. Understanding of data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills ...

Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor and troubleshoot pipelines to ensure high availability and performanceImplement robust error handling, logging, and alertingData Quality & GovernanceEnsure data quality ...

basis to support a MoD-owned data platform. The role focuses on building and maintaining secure data pipelines using Python, Azure and Kubernetes, with Apache Airflow and Apache Spark integrated into the stack. You will work within a government-aligned, secure environment, ensuring data remains hosted ...

triaging, escalating, and driving incidents to resolution under pressure. What you’ll do: Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer ...

Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to 72,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that … Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python ...

Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to £72,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that … Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python ...

optimisation and administration Strong programming experience with Python, Go and/or SQL Experience using dbt for data modelling and transformation Experience working with Apache Airflow or similar orchestration tooling Proven experience designing and building production systems on GCP and/or AWS Strong understanding of event-driven … distributed systems Experience deploying and supporting batch and real-time machine learning workloads Experience working with distributed processing technologies such as Spark or Apache Beam Strong understanding of data quality principles and engineering best practices Experience optimising database performance, troubleshooting issues and maintaining production data systems Ability to learn ...

optimisation and administration Strong programming experience with Python, Go and/or SQL Experience using dbt for data modelling and transformation Experience working with Apache Airflow or similar orchestration tooling Proven experience designing and building production systems on GCP and/or AWS Strong understanding of event-driven … distributed systems Experience deploying and supporting batch and real-time machine learning workloads Experience working with distributed processing technologies such as Spark or Apache Beam Strong understanding of data quality principles and engineering best practices Experience optimising database performance, troubleshooting issues and maintaining production data systems Ability to learn ...

implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time … data modelling and design skills. Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition ...

implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series data, from various sources (web APIs, databases, real-time … data modelling and design skills. Extensive experience designing and building large-scale, efficient data pipelines for complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition ...

principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery/GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly AWS and Azure . Knowledge of big data technologies and distributed data processing. ...

supported by solid software engineering fundamentals (version control, testing, CI/CD). Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. Experience designing and operating cloud-native data platforms (AWS or Azure ...

supported by solid software engineering fundamentals (version control, testing, CI/CD). Experience building and operating data pipelines using workflow orchestration frameworks (e.g. Apache Airflow), with a focus on reliability, observability, dependency management, and operational resilience. Experience designing and operating cloud-native data platforms (AWS or Azure ...

Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools (Airflow, dbt) Experience in financial domain #J-18808-Ljbffr ...

frameworks, orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling. Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would be an advantage. Skills: Strong ...

analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...