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Required Skills: Platform Engineering: Proficiency in Python, Scala, or SQL. Expertise in Apache Spark, Hadoop, or Apache Kafka. Configure Kafka integration services for real-time streaming and batch processing.
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$182,400 - $247,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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2+ years of production level experience in one of: Java, Scala, C. 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.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar. Programming experience in Python, C#, Java, Scala, Go or similar languages.
$120,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Spark, and agile development practices. Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library.
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7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C# edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5.
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Data Engineering - Scala/Pyspark/Spark/SQL/Cloud - azure/GC. Full stack development using multiple technologies like Java, Kafka, SQL and No SQL DB's, Spring Reactive framework, gRPC, Python.
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Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, FinTech and more. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration.
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Data platforms like SQL, Cassandra or Hadoop. Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally.
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Knowledge of the Financial reporting ecosystem will be a plus.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an add-on Expert on Distributed ecosystems Hands-on experience with programming using Core Java or Python/Scala.
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In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Knowledge in one or more of the following: NoSQL (especially, but not only Cassandra), Queueing system experience (Kafka, RabbitMQ, ActiveMQ, MSMQ), Play framework, Akka library.
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Python, Spark/Scala, Kafka expertise. Big Data Engineer. Python, Spark/Scala, Kafka expertise. Strong Hadoop/ Big Data experience. Responsible for obtaining data from the System of Record and establishing real-time data feed to provide analysis in an automated fashion.
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Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery. Knowledge and experience in Kafka, Storm, Druid and Presto. Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 3+ years of experience in application development including Python, SQL, Scala, or Java.
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