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Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems. Promote Databricks' enterprise cloud data platform powered by Apache Spark.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Streaming Data Pipelines: Develop and maintain real-time data streaming pipelines using technologies such as Apache Kafka, Apache Flink, or Apache Spark Streaming, ensuring low-latency and high-throughput data processing.
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Knowledge of big data technologies such as Apache Spark. Experience with Databricks for data engineering and analytics preferred. Knowledge of big data technologies such as Apache Spark. Familiarity with data visualization tools (e.g., Tableau, Power BI.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop. Strong proficiency in programming languages such as Python, SQL, or Scala, as well as experience with data processing frameworks such as Apache Spark or Hadoop.
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Writing Scala code with tools like Apache Spark + Apache Arrow to build a hosted, multi-cluster data warehouse for Web3. As a Sr. Software Engineer for our Data Platform Engineering team you will join skilled Scala engineers and core database developers responsible for developing hosted cloud analytics infrastructure (Apache Spark-based), distributed SQL.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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5+ years of data engineering know-how with Apache Spark or Apache Flink. Skilled in working with DataFrame APIs (Pandas and Spark) for both parallel and single-node processing.
$180,000 - $210,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Hands-on experience with data integration tools (e.g. Apache Spark, Apache Kafka) Manage the transformation of large daily batch data volumes in the cloud using Apache Spark, EMR, and Glue, ensuring streamlined processing and cost savings.
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Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink. Experience working with fully automated workflow scheduling and orchestration services such as Apache Airflow.
$60 - $75 an hourExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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3+ years of data engineering experience with Apache Spark or Apache Flink. Proficiency in working with DataFrame APIs (Pandas and Spark) for parallel and single node processing.
$100,000 - $500,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Implement and optimize data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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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.
$204,800 - $362,400 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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AR flow for production support- apache airflow system (new learning for data engineers) Converting those jobs into cloud- AWS jobs and written in python/ scala and run on spark and emr. AR flow for production support- apache airflow system (new learning for data engineers.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.
Starting at $159,000 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You will work with an engineering team accelerating Apache Spark with GPUs using CUDA and open source libraries. You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
$216,000 - $333,500 a yearExpandApply NowActive JobUpdated 3 months ago
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