676 to 700 of 926 Permanent Apache Airflow Jobs

/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure … hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices ...

/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure … hands-on experience with Spark/PySpark and other big data processing technologies Expertise in open-source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices ...

including model deployment, monitoring, evaluation, and lifecycle management Strong hands‐on understanding of modern data and AI tooling, ideally including SQL, Python, Snowflake, dbt, Airflow, Metabase, Tableau, and AWS‐based data services Experience with data ingestion, streaming, and change data capture tooling, such as Fivetran, Estuary, or similar platforms … standards, and enablement for analytics engineers Ability to oversee API‐based and batch data extraction processes, particularly those built in Python and orchestrated using Airflow Understanding of machine learning tooling and lifecycle management, ideally including DVC, MLflow, Evidently AI, or equivalent platforms for experiment tracking, versioning, monitoring, and evaluation ...

use. Coordinate connectivity and firewall requests with upstream data teams and platform teams. Support infrastructure needs for new data onboarding and scheduler maintenance with Airflow and event triggers. Perform other duties as required. Experience Requirements: Expert experience with AWS services including EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets … integration. Integration against REST APIs and cloud SDKs such as boto3. Preferred: graph databases such as AWS Neptune or Neo4j. Preferred: Apache Kafka or similar streaming platforms. Preferred: Apache Spark with Scala for distributed and streaming processing. Preferred: Airflow or similar orchestration platforms. Preferred: telecommunications or large ...

use. Coordinate connectivity and firewall requests with upstream data teams and platform teams. Support infrastructure needs for new data onboarding and scheduler maintenance with Airflow and event triggers. Perform other duties as required. Experience Requirements: Expert experience with AWS services including EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets … integration. Integration against REST APIs and cloud SDKs such as boto3. Preferred: graph databases such as AWS Neptune or Neo4j. Preferred: Apache Kafka or similar streaming platforms. Preferred: Apache Spark with Scala for distributed and streaming processing. Preferred: Airflow or similar orchestration platforms. Preferred: telecommunications or large ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...

. Experience with customer-facing, productized APIs and the platform underpinnings that support them is a plus. Familiarity with modern workflow orchestration tools (e.g. Apache Airflow, Temporal, etc) for managing and automating data or processing pipelines is a plus. Self-starter with the ability to work as part ...