276 to 300 of 307 Apache Airflow Jobs

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 ❯

standardized Spark SQL and PySpark code for data transformations, ensuring data integrity and accuracy across the pipeline. Automate pipeline orchestration using Databricks Workflows or integration with external tools (e.g., Apache Airflow, Azure Data Factory). Data Ingestion & Transformation: Build scalable data ingestion processes to handle structured, semi-structured, and unstructured data from various sources (APIs, databases, file systems More ❯

standardized Spark SQL and PySpark code for data transformations, ensuring data integrity and accuracy across the pipeline. Automate pipeline orchestration using Databricks Workflows or integration with external tools (e.g., Apache Airflow, Azure Data Factory). Data Ingestion & Transformation: Build scalable data ingestion processes to handle structured, semi-structured, and unstructured data from various sources (APIs, databases, file systems 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 ❯

to our bespoke data pipeline and associated API services. Key Requirements 5+ years of Python experience with frameworks like Flask, FastAPI, and Django. Strong command orchestration tools (e.g. Prefect, Airflow), Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication skills. Maintain, upgrade, and improve existing systems and custom More ❯

robust data solutions Qualifications: 5+ years of experience with SQL and PythonStrong background in data modeling and data visualization (Tableau, MicroStrategy, etc.)Hands-on experience with Azure Data Factory, Airflow, or similar ETL toolsAbility to work independently while collaborating with cross-functional teamsExperience with data analysis and metric definition is a plus Nice to Have: Prior experience in support 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 ❯

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 ❯

Machine Learning Strong Python skills, with familiarity in libraries like PyTorch, TensorFlow, scikit-learn Experience deploying models into production environments Solid grasp of MLOps or data pipelines (e.g., MLflow, Airflow, or similar tools) Previous experience in a start-up or high-growth environment a plus Strong communication skills – you’ll be part of strategic product discussions The Set-Up More ❯