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Create, extract, and load (ETL) pipelines using Hadoop and Apache Airflow for various production big data sources to fulfill intelligence data availability requirements. Backend/Devops Knowledge Areas: Golang, Node/NestJS, Java/Spring Boot, Kotlin, TypeORM, GORM, Docker, Helm/Kubernetes, PostgreSQL, or relational databases.
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Deploy and manage workflow orchestration utilizing AirFlow for optimized data processing workflows. In-depth understanding and usage of AirFlow for effective workflow orchestration. Develop and maintain data processing pipelines leveraging Apache Spark and either Java or Scala.
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BEDGEAR’s sleep solutions are engineered with Performance fabrics that are temperature neutral and instant cooling and maximizes airflow to allow the body to naturally regulate its temperature.
$18.27 - $40 an hourFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience building data pipelines using Spark/Airflow. Our products focus on data and analytics in structured finance (CMBS), collateralized loan obligations (CLO), commercial real estate (CRE), and banking & lending.
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Strong expertise in the big data ecosystem, including tools like Kafka, Spark, Apache Iceberg, Airflow, S3, data modeling, data warehouses, OLAP databases, etc. Strong expertise in the big data ecosystem, including tools like Kafka, Spark, Apache Iceberg, Airflow, S3, data modeling, data warehouses, OLAP databases, etc.
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Bonus if you have prior experience working with data engineers (e.g. engineers who use tools such as Airflow, Luigi, Jenkins, MapReduce, Pig, Spark, Hadoop, Hive, HBase, Greenplum, Vertica, etc.
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As a Senior Data Engineer, you will be responsible for the development of complex data sources and pipelines into our data platform (i.e. Snowflake) along with other data applications (i.e. Azure, Airflow, etc.
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Automating data processing workflows using tools such as Airflow or other workflow management tools. Automating data processing workflows using tools such as Airflow or other workflow management tools.
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Experience working with an orchestrator tool like Apache NIFI, Airflow, etc• Experience working with an orchestrator tool like Apache NIFI, Airflow, etc• Leverage new SQL Server features such as Column store Indexes, In-Memory OLTP, Incremental statistics, Trace Flags, SQL CLR functions, window aggregate functions, and parallel computing algorithms to reduce the processing time of multi-billion row data sets.
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Conduct performance testing on HVAC products to evaluate efficiency, capacity, airflow, temperature control, and other key parameters. Conduct performance testing on HVAC products to evaluate efficiency, capacity, airflow, temperature control, and other key parameters.
$70,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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Exceptional professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing data infrastructure and crafting impactful visualizations, we're not just enabling analytics - we're powering world-class solutions that propel Pfizer's mission forward.
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
$124,000 - $204,250 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Testing and Calibration: Technicians test HVAC systems to ensure proper functionality, temperature control, humidity regulation, and airflow. Job DescriptionJob DescriptionHVAC Technician - Covington, GAJob Description:As an HVAC Technician, or Heating, Ventilation, and Air Conditioning Technician, you'll be responsible for installing, maintaining, and repairing heating, cooling, and ventilation systems in residential, commercial, and industrial settings.
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We use Airflow and Spark for ETL, as well as do some stream processing (Kafka Streams and Spark at the moment). Technology we use: Our Back End stack is: primarily Python (Django and Flask) web services, some shared, some owned by our own squad.
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