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Below Are Some Example Projects:Apache Spark: Develop the de facto open source standard framework for big data. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.
$247,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies(e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
$266,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Given our datasets' size, complexity, and criticality, we seek a Software Engineer with a deep analytical mindset and modern distributed systems experience with prior experience working with one of big data tools - Hadoop, Glue, Spark, EMR, Apache Iceberg in a cloud environment for processing petabyte scale data We seek a dedicated problem-solver with a proven history of devising creative solutions for intricate data challenges.
$129,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark). Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark, and other open-source frameworks.
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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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Proficiency in big data processing in Apache Spark with Python or Scala. Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms.
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Expert experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) If you are passionate about big data engineering and machine learning technology, you want to make real business impact, and you are a true problem solver, this is the right job for you.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc. 5+ years of experience with cloud data technologies including Snowflake, AWS, Spark, Apache Airflow.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark) etc. Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python and Spark.
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5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink. Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
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Responsibilities Develop big data processing systems using Scala, Apache Spark, Airflow and related technologies. We are looking for a Software Engineer who thrives on designing, coding, and maintaining large data processing systems, primarily in the Spark framework using Scala.
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Experience with at least one massively parallel processing data technology such as Redshift, Spark, or Hadoop-based big data solution. Need Senior Data engineer With Dynamo, DB, Python, and Bigdata, Strong in Advance SQL, AWS, Apache airflow, Redshift.
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G Splunk, Elastic), big data/data lake query platforms (e.g. Apache Spark), or relational database. Our threat detection platform for factories and critical infrastructure defends the modern world against criminals and nation-states that target SCADA (Supervisory Control and Data Acquisition) and ICS (Industrial Control Systems.
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big data apache spark jobs in Seattle, WA
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