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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. 5+ years' experience as a data engineer.
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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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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.
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Proven experience as a Storage Engineer, with a focus on Dell/EMC Isilon, ECS, PowerVault, and Pure Storage Flash Array or FlashBlade technologies. As a Storage Engineer, you will primarily work with Dell/EMC Isilon, ECS, PowerVault, and Pure Storage Flash Array or FlashBlade technologies.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts – a key requirement for successful collaboration with data architects and visualization developers.
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Experience working with financial data sets like Factset and Bloomberg a plus. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Experience in database structure work and in building dashboards with Tableau and/or Power BI, Google Data Studio, Datorama, and Domo is required; knowledge of visual techniques for data analysis and presentation is a plus.
$75,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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Intermediate to expert knowledge of MS PowerPoint, MS Access, Power BI, Tableau, other data visualization software; a great plus. Experience designing eDiscovery databases and reports; reviewing and quality checking database data loads; coordinating complex projects; developing recommendations, plans, cost estimates, budgets, procedures, and specifications for case-specific projects from discovery to trial phase; drafting project proposals and provide status reports; providing end user support and customer service; troubleshooting litigation support firm applications; processing experience a plus.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today
big data a plus software engineer jobs Company: Hii in Secaucus, NJ
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