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Experience with a modern data stack, including tools like Snowflake, Looker, Airflow, and dbt. Configure data consumption tools such as Looker and Airflow to support self service analytics.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. Audacy, Inc. (NYSE: AUD; OTC: AUDA) is a leading multi-platform audio content and entertainment company with the countrys best collection of local music, news and sports brands, a premium podcast creator, major event producer, and digital innovator.
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Lead mechanical facility design for project phase-specific deliverables, which include, but are not limited to: airflow diagrams, HVAC zoning plan, pressurization map, HVAC and process utility sequence of operations, process utility summaries, piping & instrumentation diagrams (P&IDs), equipment list, line list, instrument list, tie-point list, HVAC layout drawings, plumbing layout drawings, demolition drawings, general arrangements, permit-required drawings, and piping design.
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Proficient with one or more big data & new data technologies such as DBT, NIFI, Airflow, Kafka. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda.
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E AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i. e AirFlow/MlFlow/ Kubeflow) · Experience in Spark, Hive, Spark ML, Databricks, Natural Language Processing, Tensor Flow, and Deep Learning tools (i.
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Design and calculate various HVAC systems, including air system static pressure, airflow, ductwork sizing, and chillers sizing. Work with various software tools including Autodesk AutoCAD, Revit, Bentley Microstation, and Microsoft Office Suite for design and documentation.
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We're looking for someone who has a passion for building scalable machine learning and MLOps platforms using technologies such as Python, Databricks, Spark, AWS, Airflow, Terraform, etc. Experience with Databricks, Airflow, Docker, and Terraform is a plus.
$110,000 - $142,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Currently, our infrastructure handles 65PB+ of storage, processes ~900B records a day, 400+ data pipelines and 900+ Active Airflow DAGs. As Slack’s data grows (along with the number of customers, features and employees), the goal of the team is to build a highly scalable and resilient ingestion platform leveraging modern Streaming and Lakehouse technologies.
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Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow) Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow.
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Experience with DBT, Airflow or similar analytics workflow tools is a big plus. Coalition offers its Active Insurance products in the U.S., U.K., and Canada through relationships with leading global insurers including Allianz, Arch Insurance, Lloyd’s of London, Swiss Re and Zurich, as well as cyber capacity through its own carrier, Coalition Insurance Company.
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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
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Desired skills: Apache Airflow, Apache Spark, Docker or Kubernetes, Snowflake, ML libraries (examples: tensorflow, scikit-learn, etc.) Desired skills: Apache Airflow, Apache Spark, Docker or Kubernetes, Snowflake, ML libraries (examples: tensorflow, scikit-learn, etc.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data engineering stack run on Python, MySQL, Spark, and Airflow. Our web applications are built primarily using Ruby, Rails, Javascript (Vue.js), and a bit of Golang. You have a deep understanding of object-oriented programming language like Ruby, a web framework like Rails and a modern JavaScript framework like Vue.js.
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Our infrastructure is built on EMR, Hadoop, Hive, Spark, Flink, Hudi, Apache Ranger, Sqoop, Airflow, Presto, Kafka, Secor and Aurora/ MySQL/ Vitess. Our infrastructure is built on EMR, Hadoop, Hive, Spark, Flink, Hudi, Apache Ranger, Sqoop, Airflow, Presto, Kafka, Secor and Aurora/ MySQL/ Vitess.
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airflow job in Denver, CO
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