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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics. Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As a Specialist Solutions Architect (SSA) - Data Engineering on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of use cases.
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As Senior HR Data Analyst, this hands-on role will drive HR data discovery and collection, data security, data cataloging, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks and big data technologies.
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Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Power BI) to create insightful and user-friendly dashboards for different business units. As a Data Warehouse Manager, you will be responsible for overseeing the design, implementation, and optimization of the Brand USA data warehouse infrastructure.
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Design and develop integration capabilities between Informatica MDM and various data sources/systems including on-premise and AWS cloud environments using IICS, Power Center, IDQ, Web services and other integration mechanisms and patterns Data modeling & Data Mappings (Landing, staging and Base Objects), Data validation, Match and Merge rules, SIF Framework and MDM User Exits.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Applies a solid understanding in one or more of these areas (IT General Controls, Cybersecurity, Cloud operations, Data governance, Data privacy compliance, or Big Data) to execute technical audits or other risk and compliance-related initiatives in order to identify, assess, and explain risks, report findings, and develop and communicate recommendations.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
$96,200 - $158,900 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Knowledge of Actimize data model and critical data elements (CDEs), coupled with hands-on experience in data mapping and extract, transform, load (ETL) activities for aligning an organization's data with vendor data models.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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big data jobs Title: big data architect Company: Ziprecruiter in Washington, DC
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