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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with various data and ML infrastructure technologies (SageMaker, AzureML, SQL/NoSQL) and data streaming/processing (Spark, Kafka, Flink, Airflow, AWS Kinesis) is preferred. 4+ years of experience working with Cloud (AWS, Azure or GCP), Docker, CI/CD, and orchestration technologies (Kubernetes.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services. Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Minimum 3 years of experience in building and managing high-performing teams in a remote setup, with a focus on operating large-scale data pipelines leveraging technologies such as Scala, Spark, ML, Protocol Buffers, Kafka, Airflow and Elasticsearch.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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DevOps exposure including Ci/CD pipelines in AWS - Code/Build/Deployment: GIT, Docker, Jenkins, Kubernetes. Experience designing and building data processing pipelines using Nextflow, Airflow, or similar technologies.
$168,500 - $246,500 a yearExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data pipeline and workflow orchestration tools (e.g., Airflow, DBT, Luigi, Azkaban, Storm) Deployment and monitoring infrastructure in public cloud platforms (e.g., Docker, Terraform, Kubernetes, Datadog.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Familiarly with services and tools like AWS, Kubernetes, Docker, Terraform, Concourse, Argo CD, etc.
$145,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bonus points for experience with Django, Airflow, Docker, Expo, SQL, BigQuery, Data Studio, and other Google Cloud Platform services. Bonus points for experience with Django, Airflow, Docker, Expo, SQL, BigQuery, Data Studio, and other Google Cloud Platform services.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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BONUS: Experienced in working with systems like Redis, Kafka, Elasticsearch, Logstash and Airflow. An expert with NodeJS, Express, Postgres, Docker, Terraform, Kubernetes. BONUS: Experienced in working with systems like Redis, Kafka, Elasticsearch, Logstash and Airflow.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in using relevant tools and services for ML infrastructure management, such as Kubernetes, Docker, or Apache Airflow.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Our tech stack : We use React, React Native, Django, Postgres and GraphQL. In addition, we use Airflow, Vertex AI, Docker, Expo, BigQuery, Data Studio, and other Google Cloud Platform services.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Including but not limited to Snowflake, BigQuery, Terraform, K8s, Cloud functions, Docker, Airflow, Jupyter, Kafka, Druid, Ansible. Including but not limited to Snowflake, BigQuery, Terraform, K8s, Cloud functions, Docker, Airflow, Jupyter, Kafka, Druid, Ansible.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Databricks, Kubernetes, Airflow, Redshift, EMR. Experience using Jira, GitHub, Docker, CodeFresh, Terraform.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Ruby on Rails, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Bugsnag, Datadog, GitLabCI. 3+ years of experience of as a data engineer developing or maintaining integration with software such as airflow or any python-based data pipeline codebase.
ExpandApply NowActive JobUpdated 12 days ago
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