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ETL developer with Elasticsearch/Apache Spark/Scala experience. Utilizing ElasticSearch and other big data technologies like MapReduce, Apache Spark and Scala. ETL developer with Elasticsearch/Apache Spark/Scala experience.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Expertise in Spark/Python/Databricks, Data Lake and SQL. Unit tests for all the Spark, Python data processing and Lambda codes. Create, maintain, and manage Spark Structured Steaming jobs, including using the newer Delta Live Tables and/or DBT.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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Key Skills: AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift. Configure AEP to get the data set needed and then use spark (AWS glue ) to load data in the data lake.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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Experience with distributed data and computing tools, including Spark, Databricks, or AWS EMR. Experience with distributed data and computing tools, including Spark, Databricks, or AWS EMR. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
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5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience working streaming applications (Spark Streaming, Flink, Kafka or equivalent) 4+ years of professional software development within at least one of the following Java, Spark, Scala, Python.
$76,000 - $236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies. Experience with Big Data technologies such as HBase, Hive, Spark, Graph DB and Cassandra.
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Big data tools: Hadoop, Spark, Kafka, etc. Data streaming systems: Storm, Spark-Streaming, etc. Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc.
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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub.
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SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit , R Caret, PostgreSQL MADlib , Apache Spark MLlib.
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spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Silver Spring, MD
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