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Proven in-depth experience in creating ETL pipelines using Databricks, Spark, Python, SQL, Scala, Kafka, Presto, Parquet, Streaming, events, bots, AWS/cloud ecosystem. Expert in Spark, Parquet, steaming, events, Kafka, telemetry, MapReduce, Hadoop, Hive, Presto, Spark, data query approaches, and dashboarding.
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Experience in operating and deploying container orchestration systems like Kubernetes &/ YARN.- Utilize core computer science data structures, algorithms, and software tools in one of the languages - Python, Golang, Java or other JVM languages.
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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.
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Familiarity with streaming data technologies for low-latency data processing (e.g. Apache Spark/Flink, Apache Kafka, Snowpipe or similar) Strong experience with data warehousing (e.g. Snowflake (preferred), Redshift, BigQuery, or similar.
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Work from office 3 days in hybrid model) Key words to search in resume Java, Spring boot, Microservices, Javascript, VueJS, Kafka, MongoDB, AWS, Cloud Native, EKS Prescreening/Sample Questionnaire with answers.
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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 Today - UpvoteDownvoteShare Job
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Design, implement, and support large-scale data processing pipelines using Kubernetes, Spark, Kafka, ElasticSearch, and more. We now serve more than 1,000 brands globally, including The New York Times, the BBC, ESPN, Gannett, Vox, BuzzFeed, Paramount, WB, Mediahuis, Hearst, McClatchy, and GQ.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of distributed system schedulers: Kubernetes, Hadoop YARN, Spark standalone, and/or Mesos. We are seeking an experienced Query Engine Architect to accelerate Apache Spark and related frameworks on GPUs. As Nvidia is leading the world in accelerated computing, we are building the next generation data processing ecosystem.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities include: *Be primary point of contact for the data pipeline that involves Kafka, Hadoop, Cassandra etc and infrastructure components. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
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Design loosely coupled microservices using messaging systems such as Kafka or ActiveMQ. years of experience with full stack software development experience in following technologies – Front end: React JS, TypeScript, Javascript ,React Spectrum Backend: Node JS (preferred), JAVA Databases: No SQL DB, SQL Test Framework: JEST (preferred), Selenium, Mocha, Chai, Cucumber DevOps (good to have): AWS, Azure, Kubernetes, Docker.
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Build Bytedance staging environment for TikTok, Ads, Shopping to enable internal isolate user and traffic from Prod, scale distributed applications, tweak technology like K8S, RPC, DB, MQ, KAFKA, HDFS, Hive, Yarn, build monitor and alert system.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks/Snowflake/Hadoop/Kafka exposure is preferred but not required. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more.
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We utilize proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. + 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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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
$94,200 - $223,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. Hands on working experience in any messaging platform like Kafka is preferred.
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