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Solar Technician Spark Power, a trusted partner in energy in North America, is looking for a Solar Technician to join our team. Spark Power is the leading independent provider of end-to-end electrical services and operations and maintenance services to the industrial, utility, and renewable asset markets in North America.
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Java - 4, Big data Architect - 3, Spark - 4, ETL - 4 , Apache Beam/DataF. Hands-on programming experience in Apache Spark using Java/Scala and Spark Streaming. Preferred GCP Data services Experience as requested below, if not should have, strong Hadoop, Java Spark experience or similar data services in AWS.
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Exposure to Spark, Hive, GCP Data Fusion, GCP Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language. Exposure to Spark, Hive, GCP Data Fusion, GCP Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language.
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Preferred Qualifications: Working knowledge of Distributed Parallel Processing Environments such as Spark or Snowflake Working knowledge of problem solving/root cause analysis on Production workloads Working knowledge of Agile, Scrum, and Kanban Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling Working knowledge with CI/CD and automation tools like Jenkins or Azure DevOps Strong verbal and written skills in English language.
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2+ years of Apache Spark and/or Azure Databricks, Azure Data Factory. 2+ years of Apache Spark and/or Azure Databricks, Azure Data Factory. Implement and debug Infrastructure as Code, including associated storage and network resources, using technologies such as Terraform, Azure DevOps, and/or GitHub Actions.
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Implements and debugs Infrastructure as Code, including associated storage and network resources, using technologies such as Terraform , Azure DevOps , and/or GitHub Actions What you'll need for success Minimum Qualifications- Education & Prior Job Experience.
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Experience with streaming technologies such as Apache Spark, Kafka, Flink and Scala as a programming language preferred. Experience with streaming technologies such as Apache Spark, Kafka, Flink and Scala as a programming language preferred.
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Good experience with "Productionalizing" Apache Hadoop, Apache Spark and Apache Kafka applications (such as monitoring, debugging and performance tuning). Having exposure to faster processing of large datasets using Apache Spark and distributed messaging and multi-processing of Kafka.
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Repairing/maintaining irrigation systemsplanting shrubs, trees, flowers, pruning trees/shrubsoperating riding, push lawn mowers, and other turf related equipmentpower washer operationtrash compactor operationminor equipment maintenance oil changes, blade sharpening, filter changes, spark plug changes, use of grease gun, etc.
$20.12 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advocate and drive an efficient and reliable capacity management for software and hardware utilized by the Analytics team, including Data Robot, Hadoop cluster, HDFS, Yarn, Hive, Spark, Kafka, HBase, Solr, Linux servers, and others.
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Strong Py Spark developer with hands on experience Experience with Java and Spark is mandatory. As an Entry-Level to Mid-Level Application Lead, you'll use your expertise in Client BigQuery to design and implement effective data management solutions.
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Understanding of how Hadoop and Spark work for performant big data processing. Understanding and ideally experience with Spark, Python, Linux, automated testing, and SQL. Maven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
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Proficiency in SQL, Tableau, Power BI, Python, SAS, Microsoft Access, Microsoft Excel, Hive and/or Spark is a plus. Proficiency in SQL, Tableau, Power BI, Python, SAS, Microsoft Access, Microsoft Excel, Hive and/or Spark is a plus.
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Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Data Factory, Spark, Python, Scala on Databricks. Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Data Factory, Spark, Python, Scala on Databricks.
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We live in a diverse world, with different ideas and different perspectives that come together to spark new ideas and make great things happen. Fox TV StationsFOX Television Stations owns and operates 29 full power broadcast television stations in the U.S. These include stations located in 14 of the top 15 largest designated market areas, or DMAs, and duopolies in 11 DMAs, including the three largest DMAs (New York, Los Angeles and Chicago.
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spark job in Phoenix, AZ
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