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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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What You’ll Do: As a Senior Software Engineer , you will be responsible for working on projects that support and extend the full stack of the TRSS solutions suite to deliver global data using advanced search, big data ingestion and analytical processing using tools like MongoDB, Elastic, and Kafka as well as building leading edge web applications.
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Are you passionate about the chance to bring your analytical processing experience to a world class organization that is leading the way in both content and technology to serve and protect our citizens home and abroad.
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These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine learning.
$50 - $55 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Implements, troubleshoots, and optimizes solutions based on modern big data technologies like Hadoop, Spark, Elastic Search, Storm, Kafka, etc. Implements data architecture, including data ingress in batch and real time from a broad variety of external systems; data transformations to prepare data for analytics processing, and data egress for availability of analytics results to visualization systems, applications, or external data stores.
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Familiarity with cloud-based platforms (e.g. AWS, Azure) and big data processing tools (e.g. Apache Spark, Snowflake) In this role, you will play a critical role in developing and implementing Natural Language Processing (NLP) solutions that support virtual assistants, document understanding, personalized search & recommendation experiences, etc.
$82,000 - $236,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience in building scalable data solutions with big data processing and distribute storage engines, such as Hadoop, Spark, Flink, Elastic Search, Druid, ClickHouse, etc.
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling Strong understanding of Agile SDLC implementation in public cloud eco-system including environments management, test automation, peer review, CI/CD, resource optimization, etc.
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Big data storage, search, processing and visualization. Elegant UI/UX, HTML5/JS development for web and for mobile. Big data storage, search, processing and visualization. The candidates need to be methodology and process driven, hands on, and passionate about automation.
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Data Processing: Strong understanding of data processing frameworks like Apache Spark, Apache Flink, Apache Beam, or Hadoop MapReduce. 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.
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The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales.
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling.
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Expertise with Search engine optimization, mapping user journeys, search relevancy and high availability architecture. Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr.
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Build strong collaboration with product and data science partners, define clear team vision, mission and strategy and explore new opportunities to empower business with scalable data solutions.
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This role will provide exposure to cutting-edge innovations in product search, information retrieval, natural language processing (NLP), deep learning, and image processing. Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Pig, Hive, Presto, HBase, etc.
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