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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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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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The Data Scientist is expected to pull data from source systems; explore, validate, clean, and transform the data; leverage a wide range of algorithms and analytical approaches including Business Intelligence (BI), Machine Learning (ML), Natural Language Processing (NLP) and Artificial Intelligence (AI); deliver intelligence with full reproducibility; test and deploy the intelligence products following MLOps and DataOps best practices; and communicate results and insights to key stakeholders.
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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Participate in the implementation and maintaining of network security measures, including firewalls, intrusion detection systems, access controls, and encryption, to safeguard sensitive data and ensure compliance with industry standards.
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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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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
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Strong knowledge in configuring Infor Data Fabric, Data Lake, Data Warehouse, Data Streaming, JDBC Connector, ETL tools, and other methodologies of data fetching. Experience in data migration and integration of Infor Ln with external applications using Infor tools such as Infor OS, APIs, RestAPIs, Web Services, Public Interface DLL, BODs, BEDs, Mongoose, Widgets, Ln Extension, MEC tools, and Infor Mobility tools.
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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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Certified Information Systems Auditor (CISA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), Certified Fraud Examiner (CFE) and/or relevant data analytics certification preferred.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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This person will collaborate with data scientists within the Precision Medicine Team and clinicians within Texas Oncology and US Oncology Research for the identification of patients who may be eligible for enrollment in clinical trials.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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data job Title: data manager Company: Premier Research in Dallas, TX
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