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Experience with distributed computing technologies such as Hadoop MapReduce, Scala/Spark-SQL, YARN/MR2 Expertise in designing, implementing and supporting highly scalable data systems and services in Scala Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming compute components.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Hands-onexperience with large scale Big Data environments (Spark, Kafka, Hive, Hadoop) ● Ability to handle multiple competing priorities in a fast-pacedenvironment. This is an opportunity to work on interesting data engineering anddata science problems, build large scale distributed machine learningsystems from the ground up, anduse cutting edge Big Data technologies like Spark, Kafka, HBase and Hive. RESPONSIBILITIES: ● Design and implement data pipelines empowering real timeinsights.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You already know or can rapidly learn enterprise application capabilities in order to deliver transaction and event-driven data solutions (examples: SAP, MS Dynamics, Adobe's Experience Platform and similar marketing tools, ADLS/Hadoop/Databricks, Kafka streams.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hbase, Hive, Impala, Spark, Kafka, Kudu, Solr) You will build data ingestion from various source systems to Hadoop using Kafka, Flume, Sqoop, Spark Streaming etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams) Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies like Hadoop, Spark, Flink, and Kafka is a plus. Experience with big data technologies like Hadoop, Spark, Flink, and Kafka is a plus. We are the Protections (Post-transaction) Engineering Team in eBay’s Payments Organization, responsible for building seller and buyer post-sale experiences (Cancel, Refund, Returns, Item-Not-Received, eBay Money Back Guarantee and Payment Disputes.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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<> Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery <> Experience with workflow management tools such as Jenkins, Airflow. Knowledge and experience in Kafka, Storm, Druid and Presto.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data Infrastructure, Spark, Kafka, Presto, Flink, Hadoop, AWS, EC2, S3, RDS, IAM, Kubernetes, Python, Java, Cassandra. Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premise and AWS environments.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Expertise in designing, analyzing, and troubleshooting large-scale distributed systems (Redis, Elasticsearch, Kafka, Druid, Hadoop, Flink or comparable solutions), relational databases, caching solutions and web service frameworks.
$126,000 - $304,704 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Must Have: Hadoop, Power BI, Tableau, Data Bricks, SQL/SQL, Spark/Python. Experience with platforms like Databricks, Power BI and Tableau. Must Have: Hadoop, Power BI, Tableau, Data Bricks, SQL/SQL, Spark/Python.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in working with JIRA, Confluence/Altassian Wiki pages, writing Functional Product Requirement Documents, Test Scenarios, Basic Power BI or Tableau Reports will be an added advantage. Skills and Experience should include SAP FICA, SAP SD, and SAP S4HANA. Experience in handling SAP Finance, Treasury, FSCM would be an added advantage.
$60 - $65 an hourFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. 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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink) Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise in designing, implementing and operating data engineering platforms and scalable web services, including schema management, transport (Kafka, SQS), warehousing and storage (AWS Redshift, AuroraDB, MySQL, Postgres), processing (streaming and batch ETL/ELT pipelines, Kinesis, Airflow, Spring batch), analytics (Spark, Hadoop, BigQuery, Databricks, Snowflake), and business intelligence reports (Tableau, QuickSight.
$127,500 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
hadoop kafka jobs in Cupertino, CA
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