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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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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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Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop.
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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. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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Experience with Big Data & Analytic solutions like Hadoop, streaming frameworks like Kafka, and Big Data technologies like Hadoop, Apache Spark, and Apache Ignite. Experience with Big Data & Analytic solutions like Hadoop, streaming frameworks like Kafka, and Big Data technologies like Hadoop, Apache Spark, and Apache Ignite.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with big data technologies like Apache Spark or Hadoop. Familiarity with data pipeline tools such as Apache Airflow or Luigi. c#, developer, programming, sdet, software development engineer.
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Big Data Platforms (Apache Spark, Presto, Amazon EMR) Modern Data Workflows (Apache Airflow, dbt, Dagster). Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka.
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Experience with data lakes, Dremio, dbt, Apache Spark/Iceberg/Arrow is a big plus. Experience with full-stack development, particularly in Node.js and Vue.js, is a big plus.
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Strong proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies like Apache Spark, Hadoop, and AWS services (e.g., S3, Athena, Glue.
$63 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Prior experience in Systems Engineering - you've built meaningful big data processing systems at scale, and experience with big data compute engines such as Apache Spark and Apache Flink.
$302,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2.
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Sound knowledge and hands-on experience in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies. Experience with Big Data technologies such as Hadoop, Hive, Spark.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka.
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Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm. Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago
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