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Apple Music Data Engineering Software Engineer. 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 11 days ago - UpvoteDownvoteShare Job
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Performance and scale engineering of data services including high availability and multi-site replication such as Cassandra, Postgres, Kafka, RabbitMQ, etc. Experience in one or more development languages of Python, Ruby, Java, or Go ¿Experience with open source technologies such as Cassandra, Elasticsearch, Kafka, Postgres, or RabbitMQ ¿Oral and written communication skills, comfortable communicating with groups of people when needed.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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 8 days ago - UpvoteDownvoteShare Job
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We are looking for an excellent Sr. Data engineer with extensive data engineering experience for our data science platform supporting NVIDIA's cloud platform services. Experience with building real time streaming applications with kafka etc.
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Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. 7+ years of experience in software engineering, including 3+ years working with data engineering technologies.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams) best practices in data quality and quality engineering.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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 7 days ago - UpvoteDownvoteShare Job
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You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering. Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com.
Full-timeExpandApply NowActive JobUpdated 26 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. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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Expert in Spark, Parquet, steaming, events, Kafka, telemetry, MapReduce, Hadoop, Hive, Presto, Spark, data query approaches, and dashboarding. 8+ years of proven experience in Data Engineering, worked on designing and developing software with Big Data, Data Lake/ Lake House ecosystem, Data Analytics, backend microservices architecture, and heterogeneous data types at scale.
ExpandApply NowActive JobUpdated 11 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 11 days ago - UpvoteDownvoteShare Job
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Experience developing Big Data applications using java, Spark, Kafka is a huge plus! We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc.
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Responsibilities include: *Be primary point of contact for the data pipeline that involves Kafka, Hadoop, Cassandra etc and infrastructure components. At least 5 years in a Service Reliability Engineering (SRE), DevOps or infrastructure focused role.
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You will need to have strong communication skills as you will be interacting extensively with the client data engineering team. Databricks/Snowflake/Hadoop/Kafka exposure is preferred but not required.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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In order to accomplish this, we use state-of-the-art languages like React, Redux state management, Javascript, Kotlin, Scala, data technologies like Kafka, Aerospike and Big Data, and agile development practices.
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