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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Cloud Experience: Hands-on experience with cloud-based data engineering tools and services, such as AWS S3, Redshift, Glue, Azure Data Lake, or Google BigQuery. Contract Duration - 6 months with extensions potential to hire full-time Overall years of experience 3-5 Local, remote, hybrid - remote Interview Process - first round 1 hour interview with hiring manager, second round 30 min with the team Qualifications: Experience: 5+ years of experience in data engineering, with a focus on healthcare data integration and management.
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The Data Lineage and Modeling Validation and Support Lead is a key position in Citi's Chief Data Office (CDO) within the Chief Operating Office (COO) organization. This is a crucial role within the Services Markets and Client (SMC) CDO as part of the enterprise CDO and will be responsible for Data Lineage and Modeling validation and support at the SMC level and will support the SMC CDO in various initiatives to improve data management across SMC globally.
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This is a senior role within the Services Markets and Client (SMC) CDO as part of the enterprise CDO and will be responsible for Data Lineage and Modeling validation and support at the SMC level and will support the SMC CDO in various initiatives to improve data management across SMC globally.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Champion DevOps practices within the data engineering team to increase system reliability, monitoring, and performance optimization. 5+ years of experience in data engineering with a strong focus on GCP services like BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
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Performance Optimization: Work collaboratively with cross-functional teams to align franchise development efforts with influencer marketing campaigns. Analytical mindset with the ability to make data-driven decisions.
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Search legal records, survey records, plans, specifications, land titles, etc. Perform complex survey/geomatic calculations and analysis of survey data for preparing survey maps, plats and right of way mapping.
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As a remote Data Analyst, you will develop, inspect, mine, transform, and model data to raise productivity, improve decision making, and gain competitive advantage. To learn more about Mission Technologies, click here for a short video: Who We Are HII-Mission Technologies is seeking a Remote Data Analyst to support the C5ISR operations.
$85,000 a yearRemoteExpandUpdated Today - UpvoteDownvoteShare Job
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The Director will develop a vision and strategy for the BIC in order to manage, analyze and integrate diverse data streams (genomics, proteomics, metabolomics) to support academic and clinical missions of TGH community.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Understanding of CAD data migration, import, export data mapping, custom properties, and related metadata. As Lead BSA - CAD Standards, you will create software configurations, standards operating procedures, and workflow processes, and develop best practices for proprietary and commercial-off-the-shelf (COTS) Computer-Aided Design (CAD), Product Data Management (PDM) and the Product Life Management (PLM) systems.
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Comfortable with streaming and big data concepts using design patterns with software like Spark, Flink, Kafka, HDFS, Airflow, Elastic Search, and Ignite. Be a member of the senior leadership team as the Enterprise Risk Management Technology Senior Vice President, in Data Engineering team.
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PHR/SPHR, SHRM-CP/SCP, CCP, CPA, Data Analytics Certification. Data sources used for analysis will include (which may change or be added to depending on business need): Lawson/Infor ERP, PositionManager (ATS), Halogen (Performance Management), TWI (The Work Institute), bSwift (Benefits), ServiceNow, Agility, and other internally and externally hosted solutions.
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The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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