26 to 50 of 130 Apache Airflow Jobs

hands-on and at a strategic level Experience working in regulated environments (financial services preferred) Nice to have: Experience with orchestration tools such as Airflow or Azure Data Factory Exposure to dbt or similar transformation frameworks Experience supporting ML pipelines and lifecycle management Familiarity with Azure DevOps, Git-based ...

compliance concepts Data Ingestion Incremental and CDC ingestion methods REST APIs Familiarity (At least 1+ years of experience) with: Orchestration & scheduling tools (Prefect, Airflow is a plus) Qlik Replicate Other Requirements Ability to work collaboratively and productively with other team members to achieve Lennar's objectives. Thirst to help ...

Glue, ECR, EC2, EMR, DynamoDB, Lake Formation Experience with Infrastructure as Code (Terraform) Proficiency in Python, SQL, and familiarity with PySpark Experience with Apache Spark and data processing frameworks Hands-on experience with Apache Airflow for workflow orchestration Experience using Jupyter Notebooks and/or Amazon Athena ...

capabilitie Requirements: 5+ years of experience in data engineering within production environments Strong Python and SQL skills Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery ...

hands-on and at a strategic level Experience working in regulated environments (financial services preferred) Nice to have: Experience with orchestration tools such as Airflow or Azure Data Factory Exposure to dbt or similar transformation frameworks Experience supporting ML pipelines and lifecycle management Familiarity with Azure DevOps, Git-based ...

hands-on and at a strategic level Experience working in regulated environments (financial services preferred) Nice to have: Experience with orchestration tools such as Airflow or Azure Data Factory Exposure to dbt or similar transformation frameworks Experience supporting ML pipelines and lifecycle management Familiarity with Azure DevOps, Git-based ...

Building Extract Transform and Load (ETL) pipeline (streaming/batch) using MPP frameworks (Spark, Beam, or other) Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products ...

data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling ...

Experience using Git in a team environment Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: Experience with Airflow, Dagster or other orchestration tools Experience with data lakes (Synapse, Snowflake) Experience with Docker Experience with streaming technologies (Kafka, RabbitMQ) Experience with Spark ...

Following Distributed computing technologies such as Spark and Databricks Cloud platforms including AWS, Azure, or GCP Workflow orchestration tools such as Airflow CI/CD, version control, and infrastructure as code Desirable Experience within financial services, consulting, or risk environments Degree in Computer Science or a quantitative discipline What ...

secure handling of data including authentication, authorisation, encryption. Implement monitoring, alerting for large-scale distributed data workloads. Use orchestration tools such as Cloud Composer, Airflow or equivalent to operationalise pipelines. Collaborate with engineers, architects and SMEs to deliver stable, high-quality data products. Skills and Experience Strong programming skills ...

databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps Champion multi-cloud engineering across Azure ...

/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines, and Python ...

data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling, data warehousing, data governance The role is 100% remote, however you must ...

Glue or EKS Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg Familiarity with orchestration tools such as Dagster or Airflow Strong understanding of data modelling concepts and analytics best practice A software engineering mindset, including Git, testing and CI/CD workflows What They ...

/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc..) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans ...

Redux, Redux Hooks, and other modern state management libraries. Kotlin on Android and Swift on iOS. Data Analytics/Engineering: SQL, Python, Snowflake, dbt, Airflow & Looker. AI at Marshmallow: Sierra.ai for conversational AI, Python and LangChain for agentic AI solutions, SageMaker and MLflow for Machine Learning, Cursor and Claude ...

data pipelines, managing large datasets, and enabling engineering and AI teams to deliver high-performance data-driven products. Key Technical Requirements • Python • SQL • Spark • Airflow • Data pipelines • AWS or GCP Experience Required • 4+ years in data engineering • Experience working with large-scale structured and unstructured datasets • Strong ETL development ...

real-time processing. Build and maintain data ingestion frameworks from multiple data sources. Develop scalable data models and data warehouse solutions. Implement workflow orchestration (Airflow/Cloud Composer) including retries, dependencies, and monitoring. Ensure data quality, validation, and governance mechanisms. Design and manage streaming pipelines (Kafka/ ...

environments Solid experience with SQL and data modelling concepts Strong analytical and problem-solving skills Nice to Have Skills Experience with data pipeline tools (Airflow, Kafka, Spark) Knowledge of cloud platforms (AWS, Azure or GCP) Familiarity with relational and NoSQL databases Additional programming experience (Python, Scala) Essential Requirements Active ...

Nice to Have: * Microsoft Azure Solutions Architect Expert* AWS Solutions Architect Professional* Databricks Certifications* CDMP Certification* Terraform, Bicep or Infrastructure-as-Code experience* dbt, Airflow or modern orchestration frameworks* Experience supporting AI, GenAI or RAG-based architectures* Experience within Financial Services, Healthcare, Life Sciences, Energy, Retail or Manufacturing Robert ...

technical solutions meet business needs. Experience with data ingestion tools, like Fivetran. Advantageous Exposure to deploying applications with Kubernetes. Experience with Data Orchestrator tools (Airflow, Prefect, etc.). Experience with Data Observability tools (Montecarlo, Great Expectations, etc.). Experience with Data Catalog tools (Amundsen, OpenMetadata, etc.). Benefits Winning ...

Experience with embeddings, vector databases, RAG, LLM-based enrichment, or knowledge graph completion. Experience with MLOps tools such as Docker, Kubernetes, MLflow, Weights & Biases, Airflow, or similar. Experience with AWS, GCP, or Azure. Experience in construction, architecture, BIM, building materials, technical product data, catalogues, standards, or compliance-heavy data ...

production-grade data pipelines Solid understanding of integration patterns including REST APIs, webhooks, OAuth and event-driven architectures Experience with orchestration tools such as Airflow, Prefect or Dagster Familiarity with cloud environments (AWS, GCP or Azure) Experience with containerisation tools such as Docker and Kubernetes Proven experience integrating multiple ...

. ML workflow orchestration and serving: Operate the systems researchers use to launch experiments, data jobs, and production endpoints — workflow engines (e.g., Kubeflow Pipelines, Airflow), GPU schedulers (e.g., Volcano, Slurm), experiment trackers (e.g., MLflow, Weights & Biases), and managed‐inference platforms (e.g., Modal, Triton) — and maintain a launcher ...