7 of 7 Apache Airflow Jobs in Birmingham

multitasking Technologies: Scala, Java, Python, Spark, Linux, shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience with process scheduling platforms like Apache Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing frameworks More ❯

Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache Airflow. Open to working in GS proprietary technology like Slang/SECDB An understanding of compute resources and the ability to interpret performance metrics More ❯

Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) • Experience in working with process scheduling platforms like Apache Airflow. • Should be ready to work in GS proprietary technology like Slang/SECDB • An understanding of compute resources and the ability to interpret More ❯

languages Technologies: Scala, Java, Python, Spark, Linux, shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience with process scheduling platforms like Apache Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing frameworks More ❯

technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than More ❯

solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle and production environments Familiarity with Linux/Windows VM management More ❯

solid SQL skills Hands-on experience with Azure services (VMs, Web Apps, Storage, Azure ML) Knowledge of DevOps tools: GitHub Actions, Terraform, Docker, Kubernetes, Airflow Understanding of software engineering best practices and cloud security Exposure to ML model lifecycle and production environments Familiarity with Linux/Windows VM management More ❯