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Experience with streaming technologies and processing (Kafka, Redpanda, Spark streaming, Apache Storm, Flink) Use this data streaming system to build identity resolution applications and data pipelines that exposes the data we collect in a reporting system, leveraging BigQuery, Dataflow, Pub/Sub and other related Cloud Technologies.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Debug and diagnose intricate failures, functional and performance regressions, with Apache Kafka, data codecs, low latency services, Spark streaming. We're the first to introduce Kafka, Avro, company-wide Dataset Schema Registry, Mesos, Clustered MySQL, Vitess and Spark for ETL, at Bloomberg for designing this new Data Intensive Platform that is the hub of financial datasets.
$160,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop, program, and maintain applications using the Apache Spark open-source framework. Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streaming.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. WBD is a premier global media and entertainment company offering audiences the world’s most differentiated and complete portfolio of content, brands and franchises across television, film, sports, news, streaming and gaming.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc. Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc.
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Experience with big data processing frameworks and tools such as Apache Spark, Hadoop, or AWS Glue. - Experience with streaming data technologies such as Apache Kafka or Apache Flink is a plus.
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8+ years of experience in wide variety of distributed systems and frameworks – such as Apache Spark, Kafka, Airflow, Kubernetes, Cassandra, Druid, Snowflake and more. As a pure tech organization, we are essential to Warner Bros. Discovery’s continued growth, building world-class streaming products from the ground-up for our iconic brands like Max, HBOMax, Discovery+, CNN, Food Network, HGTV, Eurosport, MotorTrend, and many more.
$175,700 - $326,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Spectrum Conductor or Databricks with Apache Spark. Strong understanding of core Hadoop services such as HDFS, MapReduce, Kafka, Spark and Spark-Streaming, Hive, Impala, HBase, Kudu, Sqoop, and Oozie.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Experience developing near real time event streaming pipelines with tools such as – Kafka, Spark Streaming, Apache Flink & Apache Beam. Experience with Big Data technologies and Distributed Systems such as Hadoop, HDFS, HIVE, Spark, Databricks, Cloudera.
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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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Familiarity with big data technologies such as Apache Spark is a plus. Experience working with data streaming technologies like Apache Kafka or Amazon Kinesis. The ideal candidate will have a strong background in data engineering and be proficient in using the ELK (elastic, kibana, logstash) stack and Databricks for data processing and analytics.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in Apache Spark, including Spark Core, Spark SQL, and Spark Streaming. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
$115,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Stream processing services such as Kafka, AWS Kinesis, Apache Storm, Spark Streaming, Azure Event Hub, etc. Microsoft Power BI, spotfire, or other reporting solutions. Stream processing services such as Kafka, AWS Kinesis, Apache Storm, Spark Streaming, Azure Event Hub, etc.
Full-timeExpandApply NowActive JobUpdated 3 months ago
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