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Experience with data orchestration tools (Airflow, Luigi) and containerization technologies (Docker, Kubernetes). Cloud Platform Proficiency (GCP Focus): Extensive experience with GCP services for data engineering and analytics (BigQuery, Dataflow, Dataproc, Pub/Sub, etc.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes.
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Experience with backend development for geospatial data with GeoDjango and PostGIS Knowledge and experience with geospatial analysis tools like GDAL, shapely, geopandas, rasterio, and other open-source GIS tools Experience managing data orchestration tools like Prefect, Airflow, etc.
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Set up ETL jobs in Jenkins or Airflow to move large volume of distributed data from various sources to secondary data centers for business continuity and disaster recovery. Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing.
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Experience managing data orchestration tools like Prefect, Airflow, etc. Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). We are seeking a motivated, outstanding, and dynamic Backend Software Engineer to join our Technology team to work on software development, to provide tools for our rapidly expanding Carbon Dioxide Removal (CDR) Program.
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Highly skilled in data orchestration with experience in tools like Ctrl-M, Apache Airflow. 2-3 years' experience in modern data architecture that supports advanced analytics including Snowflake, Azure, etc.
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Extensive experience with GCP services for data engineering and analytics (BigQuery, Dataflow, Dataproc, Pub/Sub, etc. Experience with data visualization tools (Tableau, Power BI). Solution Architect : Data Engineering and Analytics.
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Execution: create practical ML and NLP solutions, making customer-centric prioritization decisions to balance between immediate impact and long-term bets; partner, align, and collaborate with other engineering teams to implement features end to end, in particular throughout data engineering systems such as Airflow, VertexAI, BigQuery, etc.
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Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps. Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps.
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ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau. Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS) ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau.
$69,000 - $93,400 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation.
$140,000 - $189,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Tune, Monitor and configure tools such as Kaaa, Spark, Presto, Airflow, MQTT. Tune, Monitor and configure tools such as Kaaa, Spark, Presto, Airflow, MQTT. Bachelor’s degree in Computer Science OR Computer Engineer.
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Tune, Monitor and configure tools such as Kafka, Spark, Presto, Airflow, MQTT. Tune, Monitor and configure tools such as Kafka, Spark, Presto, Airflow, MQTT. Experience with configuration management tools: Puppet, Chef, Kustomize, or Ansible.
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Highly skilled in data orchestration with tools like Ctrl-M, Apache Airflow. Have experience with StreamSets and dbt, demonstrating a preference for modern data engineering tools. Add data lineage and technical glossary from data pipelines to data catalog tools for comprehensive data governance.
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Familiarity with common CI/CD frameworks (Jenkins/airflow/etc) as well as experience with GitHub. MA/MS or PhD degree in Computer Science, Statistics, Bioinformatics, Computational Biology, or related field with a focus on Machine Learning.
Full-timeRemoteExpandApply NowActive JobUpdated 2 days ago
airflow job in Hayward, CA
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