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Familiarity with big data technologies such as Apache Spark, Hadoop, etc. The Commerce team provides the transactional engine for App Store, iTunes Music Store, Apple Music, iBook Store, Apple TV+ and more.
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Experience with Machine Learning tools (Tensorflow, Apache Spark) Experience with managing Apache and/or NGIX web servers. Experience with Machine Learning tools (Tensorflow, Apache Spark.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners. We use various open-source technologies (such as Apache Spark, Presto, Comet, Apache Airflow to name a few) to develop services for Adobe customers and partners.
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Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
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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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Experience in using data orchestration workflows using open-source tools like Apache Airflow, Prefect. Strong hands-on experience in ELT Tools like Matillion, Fivetran, Talend, IDMC (Matillion preferred) , data transformational tool – DBT and in using AWS services like EC2, s3, lambda, glue.
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Primary ResponsibilitiesDistributed-Python-Apps: Ability to deploy, contribute and support to a highly distributed python based CDN framework (Flask, Celery, Apache Traffic Control, WebSockets.
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Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads. Our engineering team serves as the bridge between the worlds of open source and enterprise: contributing directly to and growing Apache Hudi (already used at scale by global enterprises like Uber, Amazon, ByteDance etc) and concurrently defining a new industry category - the transactional data lake.
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Supports Big Data and batch/real time analytical solutions leveraging transformational technologies like Apache Beam. Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hbase, Hive, Impala, Spark, Kafka, Kudu, Solr.
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Drive architecture, design, and implementation of key aspects of the front end user experience for the Apache NiFi, MiNiFi, Registry, and FDS projects and their usage by other ecosystem projects.
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Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus. Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.
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Experience with Docker and Kubernetes, Apache Kafka, and Google Pub/Sub. Experience with microservices, preferably Spring Boot. Strong knowledge of relational databases, MySQL. Experience with Cloud Technologies.
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The ideal candidate will have a strong background in designing and scaling data pipelines using Kafka, Spark, and Flink for data ingestion to the Apache Iceberg platform. Manage data ingestion, processing, and distribution across multiple data sources and sinks using Apache Iceberg.
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Apache Solr Admin with Kubernetes exp. Experience in Apache Solr Admin. Apache Solr Admin with Kubernetes exp. Experience in Apache Solr Admin. Experience in administering large scale SOLR clusters.
$140,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
apache job in Cupertino, CA
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