251 to 275 of 285 Permanent Apache Airflow Jobs

System Reliability Engineer. Experience with building, maintaining and continuously enhancing automations needed for scalability & efficiency in running the Network Infrastructure. Experience in infrastructure Automation and orchestration Frameworks e.g. Ansible, Airflow, Terraform, Chef, Salt. Proven experience with object-oriented programming languages preferably in Python. A bachelor's or master's degree in computer science, Engineering, Mathematics, a similar field of More ❯

What we’d like to see from you: • Extensive experience designing and deploying ML systems in production • Deep technical expertise in Python and modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI) • Experience with infrastructure-as-code and CI/CD practices for ML (e.g. Terraform, GitHub Actions, ArgoCD) • Proven ability to build reusable tooling, scalable services More ❯

support analytics platforms like MicroStrategy, ThoughtSpot, or similar tools Strong knowledge of Zero Trust Architecture and secure enclave management in government cloud implementations Familiarity with data pipeline integration (e.g., Airflow, Redshift, SQL, Python) in cloud environments Ability to serve as a lead architect on large federal programs with classified data requirements Certifications such as AWS Certified Solutions Architect - Professional More ❯

software architecture, perform thorough code reviews, and ensure high coding standards. Foster innovative thinking and strive to create robust and scalable systems. Your Skills: Proficiency in Python, Kubernetes, Docker, Airflow, Harness, and Jenkins. Knowledge and experience with CI/CD pipelines and methods. Experience building ML pipelines and working with classical ML algorithms. Ability to develop and maintain high More ❯

Data/Analytics Monthly Business Review (MBR) - Track performance metrics for your team - Communicate with and support various internal stakeholders and external audiences - Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS Bedrock A day in the life Our team's customers are internal Amazon teams responsible for managing Amazon's Last Mile global More ❯

tickets, and resolving operational issues Desired Qualifications (NOT REQUIRED): Deep understanding of DevOps, CI/CD, and infrastructure as code Experience Angular/Postgres/Nifi/MongoDB/Airflow Experience with agile development methodologies Excellent written and verbal communication skills Strong problem-solving skills and attention to detail Cloud and Security+ certifications Working at Edgesource: As an ISO More ❯

What we’d like to see from you: Extensive experience designing and deploying ML systems in production Deep technical expertise in Python and modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI) Experience with infrastructure-as-code and CI/CD practices for ML (e.g. Terraform, GitHub Actions, ArgoCD) Proven ability to build reusable tooling, scalable services More ❯

experience designing and implementing robust, performant data pipelines from a variety of sources such as databases, APIs, SFTP, etc. Experience building ELT pipelines using tools such as dbt and Airflow Proven experience managing software engineering teams, including mentoring juniors and seniors, and promoting professional development. Demonstrated experience in project management, with the ability to manage multiple projects and prioritize More ❯

ETL using big data tools (HIVE/Presto, Redshift) Previous experience with web frameworks for Python such as Django/Flask is a plus Experience writing data pipelines using Airflow Fluency in Looker and/or Tableau Strong understanding of data warehousing principles, pipelines, and APIs Strong communication skills The ability to work independently and across multiple time zones More ❯

Machine Moderation system using Python-based NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS). Train, evaluate, and monitor machine learning models using orchestration tools (e.g. Flyte, Airflow). Manage ML pipelines on AWS with containerized services and CI/CD deployment via GitHub Actions. Implement streaming data processing using Kafka for real-time content moderation decisions. More ❯

AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems You May be a Good Fit More ❯

Science or a related field. Strong background in statistical analysis, including Marketing Mix Modelling and Predictive LTV modelling. Excellent knowledge of both Data Science (Python, SQL) and production tools (Airflow). Experience of shipping tested models which make predictions in batch or real time. Proven ability to understand stakeholder problems and build models that get used for decision-making More ❯

Lumi Space is empowering the future prosperity of earth - making space scalable and sustainable using ground-based laser systems. We work with global companies and institutions to build products and services to precisely track satellites and remove the dangers of More ❯

Lumi Space is empowering the future prosperity of earth - making space scalable and sustainable using ground-based laser systems. We work with global companies and institutions to build products and services to precisely track satellites and remove the dangers of More ❯

Requirements: Several years of proven experience in MLOps, including end-to-end machine learning lifecycle management Strong programming skills in Python and C++ Familiarity with MLOps tools like MLFlow, Airflow, or Kubeflow. Experience designing and managing CI/CD pipelines for machine learning projects with experience in CI/CD tools (e.g., Jenkins) Proficiency in automation tools for streamlining … deployment workflows Automate repetitive and manual processes involved in machine learning operations to improve efficiency Implement and manage MLOps solutions on AWS, leveraging Terraform for infrastructure as code Technologies: Airflow AWS CI/CD Cloud Computer Vision Embedded Support Jenkins Kubeflow Machine Learning Mobile Python Terraform C++ DevOps More: Cinemo is a global provider of highly innovative infotainment products More ❯

years focused specifically on data, analytics platforms, or related technical products. You are deeply familiar with modern analytics technologies, especially SQL engines, Databricks, and tools such as Starburst, Airflow, Looker, or equivalent. You understand how generative AI experiences can be leveraged in analytics platforms. You have a proven track record of delivering analytics products that significantly enhance internal productivity … years focused specifically on data, analytics platforms, or related technical products. You are deeply familiar with modern analytics technologies, especially SQL engines, Databricks, and tools such as Starburst, Airflow, Looker, or equivalent. You understand how generative AI experiences can be leveraged in analytics platforms. You have a proven track record of delivering analytics products that significantly enhance internal productivity More ❯

production environments. Understanding of CI/CD and best practices for ML. Nice to Have Exposure to energy trading or real-time data environments. Experience with tools like MLflow, Airflow, or Step Functions. Apply now for immediate review! #J-18808-Ljbffr More ❯

centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return More ❯

centred around a software product, and have solid Python coding skills, and expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow is essential, with any knowledge of AI SaaS or GenAI APIs being is a bonus. But what truly matters is your passion for learning and advancing technology. In return More ❯

Skype Direct Client Requirement Job Details At least 6 years of experience in Scala on Spark, Kubernetes and SQL Experience working with Azure (AKS, ACR, ADLS, etc. services) and Airflow for orchestration Strong troubleshooting experience with defects and/or working on new planned enhancements Need to be well organized Successfully perform well in a developer capacity in an More ❯

teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits More ❯

teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits More ❯

teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits More ❯

teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits More ❯

teams to embed data-driven thinking across the organisation Ensure data governance, quality, and security best practices are in place Utilising the AWS tech stack including S3, Lambda, Redshift, Airflow Preferably some experience with Snowflake although this is not essential This is a hands-on leadership role - ideal for someone who enjoys both strategic thinking and technical delivery. Benefits More ❯