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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience with graph-based data workflows such as Apache Airflow.
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Other Technologies a plus: Unix Command Line, Airflow, Docker, Angular, GCP/AWS, Kubernetes. DEPT is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more.
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Some of the technologies we use include Google Cloud, Python, R, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and various supervised learning algorithms. Experience of Airflow.
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Strong experience deploying and managing open source frameworks such as Airflow, Kafka, Spark, Kubernetes, etc. Comfortable working with Spark/PySpark, Databases and Data Lakehouses, Terraform and Docker.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker. The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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1) SQL; (2) Python; (3) Airflow; (4) Machine Learning; (5) Statistics & Experimentation; (6) Tableau/Mode Analytics Visualization Tools; (7) R; (8) Unix Bash; (9) Spark; and (10) Docker.
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SQL DB, No-SQL DB, Kafka, Hive, Spark, Airflow, etc. Docker, Jenkins, Github Actions, GraphQL. SQL DB, No-SQL DB, Kafka, Hive, Spark, Airflow, etc. Strong coding skills in Java and/or Kotlin.
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Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi) Experience deploying cloud infrastructure (e.g., AWS, GCP) using containers and orchestration (e.g., Docker, Kubernetes), managed using infrastructure as code (e.g., Terraform, Ansible.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of Docker/Container technologies like Kubernetes or ECS. Experience with Python & Airflow. Knowledge of Docker/Container technologies like Kubernetes or ECS. Experience building cloud infrastructure with Terraform on cloud technologies like AWS.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You're an Apache Airflow practitioner with experience managing cross-DAG dependencies in Airflow.
$140,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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High level of proficiency with modern orchestration platforms such as Airflow. Kubernetes, docker, containerization strategies, Linux/UNIX would be required. Experience with Cloud data warehouses like BigQuery, Snowflake, Redshift preferred.
$172,000 - $257,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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ML/Platform: PyTorch, Docker, Kubernetes, Terraform. Automation: Airflow, Kubeflow. ML/Platform: PyTorch, Docker, Kubernetes, Terraform. Model Serving: Triton, FasterTransformer. Automation: Airflow, Kubeflow.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift. Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools.
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