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Familiarity with big data technologies and frameworks. Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications.
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The Resource Specialist/Data Manager is responsible for providing case management to victims of human trafficking who are identified through a diversion program for 12-24 year old potential victims of human trafficking identified through law enforcement at the point of arrest.
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Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.
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At least 1 year of experience in big data technologies. 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Have or obtain Series 7, 65, and over time a Series 24 Hours & Work Schedule Hours per Week: 40 Work Schedule: M-F Some job boards have started using jobseeker-reported data to estimate salary ranges for roles.
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Understanding concepts of programmatic media, ad serving, ad serving platforms, ad trafficking process, attribution models based on impression, click, IDFA, ADID, etc., basic data security policies/strategies, privacy regulations (such as CCPA, CPRA, GDPR, and etc.
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Knowledge of social science research methodologies, data applications and repositories, and legal and government information sources. Experience with using a data analysis, visualization, and mapping tools such as ArcGIS.
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Additionally, the Resource Specialist/Data Manager will be responsible for compiling, monitoring, and evaluating all data collected through the project, as well as supporting any relevant reporting.
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Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks. Qualifications: 5+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry.
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Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and NoSQL databases. Stay current with industry trends, best practices, and emerging technologies in data engineering and big data processing.
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Use expert-level proficiency in KAFKA to design data integration patterns and solutions (Data Streaming) to ensure successful product implementations. Prepare effective test data and functional specifications.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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E.g.: Cisco CCIE Enterprise, Data Center, Security, etc., Palo Alto PCNSE, Fortinet FCX, FCP. As a Principal Architect, you will be responsible for leading and mentoring a team of engineers who together with you will plan, design and implement network infrastructure, data center and next generation security IT solutions for our clients.
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Configuration of data management, visualisation, and analytical platforms in support of DnA service delivery including Azure Databricks / Delta Lake and Synapse, SQLServer, Analysis Services / PowerBI. Put in place automated processes to reduce effort for colleagues in setup and maintenance of data platforms.
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Leads the local process owners for Quality Systems (deviation, capa, change control, data integrity, training, risk management, and audits). Directs quality oversight of compliance and quality systems activities including Quality Risk Management, Data Integrity, Training, Audits and Inspections, Document and Records Management and Site Quality Council.
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big data jobs Title: hadoop in Union, NJ
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