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The South/NW Regional EHS Manager is responsible for implementing Aligned corporate safety policies, programs, and requirements for Aligned construction projects and established data center operations.
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The director provides leadership for enterprise data security strategy, data architecture, and data operations and development. Experience implementing and managing data protection, data loss prevention, and threat mitigation controls and tools.
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Custodian Management Process Specialist (Contract) - 90 DaysBased in Dallas, TX - 100% onsiteDo you have a passion for data and a proven track record in collateral management or data analysis within the mortgage servicing or custodial banking industry.
$35 - $75 an hourTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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SiriusXM is looking for a Data Engineer to join the Marketing Analytics & Technology team. As a Data Engineer, you will collaborate with departments across the organization to build data transformation pipelines, your responsibilities will include supporting the development, maintenance, and operational stability of data engineering and analytics infrastructure.
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Lead Data Engineer - REMOTE Contract/Hourly W2 only. Proficiency in programming languages such as Python, with experience in Modern Data Technologies like Spark, Databricks, and Kafka. We are looking for a Lead Data Engineer to join our Data Engineering team.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. You will collaborate with analytic partners and business partners from product strategy, program management, IT, data strategy, and predictive analytics teams to develop effective solutions for our partners.
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This role involves ensuring the accuracy and reliability of all deliverables created from LiDAR and imagery data from both manned and unmanned aircraft, troubleshooting technical issues, and conducting quality control checks.
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Experience with cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Databricks Lakehouse, etc.) Deep knowledge of Data Science and related technologies (Python, R, scikit-learn, Tensorflow, PyTorch, etc.
$106,300 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Qualifications Required Qualifications: 5+ years of experience writing advanced to expert level SQL within database systems such as SAP HANA, Google BigQuery, Teradata 3+ years of experience with common data mining/wrangling technologies such as Alteryx, Talend, Trifacta 3+ years of experience analyzing large data sets with a focus in finance or insurance.
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Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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data job Company: Smartscript Pharmacy in Irving, TX
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