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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. At least 2 year of experience in open source programming languages for large scale data analysis.
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Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Design and develop scalable data products - infrastructure, data pipelines leveraging AWS Services (EMR, Glue, Lambda, Dynamo, Redshift etc) and Open source big data solutions (Trino, SuperSet, Iceburg etc.
$314,800 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Always Be Learning: Experience with open source technologies (if no practical work experience w/ Big Data, or cutting edge front-end technology—you’re prototyping and/or researching the up-and-coming technology and solutions.
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Experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models (LLM) and specialized Machine Learning (ML) hardware developed by Google.
$257,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience on Open Source Frameworks Spring MVC, Spring (Core, DAO, ORM), Hibernate, Maven. Big Data Java Spark. Willingness to do Certification in Databricks Certified Developer: Apache Spark 3.
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5+ years of Autoscaling Groups (ASGs), EC2 Spot Instances, Graviton, large scale data processing, rendering farms and grid computing, job schedulers, containers and open source Kubernetes projects such as Karpenter, and ISV software that take advantage of all of the above.
$239,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Track record of open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc) This re-architecture will introduce disaggregation of Hadoop storage and compute with open source solutions.
$314,800 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Legacy and modern programming languages, operating systems, distributed systems, open-source frameworks, UI technology, how concepts and implementations compare and contrast. You will have the opportunity to contribute value across our entire stack: cloud computing, distributed computing, data management, advanced financial analytics, sophisticated data visualization, and web applications.
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About the teamThis team is building the core causal measurement and modeling capabilities serving all Amazon Ads. We work with a variety of systems and languages: combining AWS services like EMR, Kinesis and AWS Batch, with open source technologies such as Spark, Presto and PyTorch.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced data analytics designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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