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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable FrameworksExperience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc.
$145,000 - $180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Preferred QualificationsLarge Scale Cloud Data Lake/ Warehouse transformationAWS Cloud experience in Streaming, Batch Data ManagementRedshift or other large warehouse Management experienceAdvanced SQL and AnalyticsBI tools like tableau, QuicksightData Governance and Quality ControlsComputer language experience (Python, PySpark, and R)Monitoring and Alerting systems experience (AppDynamics, Splunk etc.
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Six or more years of experience in the development of Data Warehouse, Big Data – structured & unstructured platforms, real-time & batch processing, data standards. Drive all aspects of technical and data architecture, design, prototyping and implementation in support of both product needs as well as overall technology data strategy.
$145,000 - $180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience in presenting reports and strategic recommendations to clientsFamiliarity with other web platforms (e.g. Looker Studio Dashboard, Big Query, SEMrush, Google Search Console) is a bonus.
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3-5 years of working experience with big data technologies such as Kafka, Apache Spark, Elastic Search and Data Streaming. Build data centric products that will scale well using the following platforms and technologies - Azure SQL, GCP Big Query and Graph technologies (Neo4j), big data solutions like Apache Spark, GCP Data Proc, and in Messaging platforms (Kafka.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, Spark-Streaming, etc. 10+ years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.
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Deep understanding of ecommerce ClickStream data including query, catalog data, and customer satisfaction dataSolid knowledge of machine learning and deep learning conceptsExperience working with large data sets in big data environmentsProficiency in Python/Spark, TensorFlow, SQL, Java, Kubeflow, Jupyter, GCP etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Collaborate with internal teams on key projects including media planning, creative, product, sales, big data, E-business, analytics, content, and market research. Direct experience with any combination of the following is preferred: Paid Search, CTV, Online Video, Social, Display and Streaming Audio.
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Economists at Amazon are expected to work directly with other Economists and senior management on key business problems in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations.
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Cloud Platforms: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, and their big data services (e.g., Amazon EMR, Azure HDInsight, Google Cloud Dataproc). Streaming Data: Knowledge of stream processing frameworks like Apache Kafka or Apache Pulsar is valuable for handling real-time data streams.
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Containerization and Orchestration: Familiarity with containerization (Docker) and orchestration tools (Kubernetes) for deploying and managing big data applications. Optimization: Proficiency in optimizing big data applications for performance, throughput, and resource utilization.
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Experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus. E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Experience working with Big data technologies - Cassandra, Elastic search, document stores. Experience working with stream processing platforms such as Kafka, Flink, Spark structured streaming.
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search data big streaming jobs
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