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Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
$140,290 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. Hands-on experience working with technologies like Spark for data processing, ETLs for data pipelines and queueing systems (Kafka, RabbitMQ.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Strong experience with various data management paradigms such as relational (SQL), big data (like Hadoop and Spark) and NoSQL (for example Azure Cosmos DB, AWS DynamoDB, Google Firestore, MongoDB, Cassandra.
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Demonstrated hands-on experience working with big data and artificial intelligence. Collaborates closely with esteemed research personnel and industry partners to design and execute pioneering research and translational strategies in artificial intelligence, spanning a spectrum of biomedical imaging data, computational diagnostics, and precision medicine.
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Preferred Skills:Experience with Big Data analysis, Data Visualization, and/or Business intelligence tools;Ability to manage multiple tasks and prioritize changing work demands;Ability to understand legal documents and complex agreements;Familiarity with financial research tools.
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Knowledge of Big Data integration tools like Talend. Hands-on experience in developing integrations using REST, SOAP, XML, and JSON.Demonstrated expertise in EDI integration with trading partners.
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2+ Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases like Snowflake. Hands on Data modelling tables, views. 2+ Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure) STRONGLY Preferred.
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Good knowledge of Data Privacy Actions for regulatory Laws like CCPA, CPRA, GDPR. Hands-on experience with OOAD, Design & Architectural patterns, ArchiMate, ADD and minimum viable architectures Domain expertise in Finance and specialized in managing client data.
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MS Office proficiency with Advanced Excel skills required Experience working with big data files, with the ability to summarize for a meaningful business discussion is a plus. 3 to 5 years' experience in Price / Cost / data processing analysis preferred Prior experience in manufacturing or distribution preferred.
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Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem. Hands on experience in multi-threading, synchronization, collections, Java streams, JDBC.
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We were included in the top 10 of Selling Power magazine’s “Best Companies to Sell For” list and recognized on Forbes magazine’s “Platinum 400 – Best Big Companies” list. Cutting edge sales tools, including a data management device with CRM software.
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Big Data technologies: Hadoop, Spark, R, and NoSQL. Work under direct supervision to ensure on-time delivery of projects, production support plans, and knowledge transfer for longterm supportability of upgrades, enhancements, and deployments.
$149,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience building complex reports, dashboards, scorecards, and visualizationsExperience pulling data from Jira, Big Query, and Workday Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
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The ideal candidate should have experience developing audience insights based on owned data, establishing and managing program engagement strategies, and deriving insights from campaign performance.
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