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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Marketing Campaign Operations & Analytics.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field. We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT. Data engineering certification is a plus.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Responsibilities: · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. You’ll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data, and cloud knowledge, to optimize and evolve how we understand our technical ecosystem.
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Multiple Open - Rank Tenured / Tenure - Track Faculty Positions in the Wallace H. Coulter Department
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About the Wallace H. Coulter Department of Biomedical Engineering at the Georgia Institute of Technology and Emory UniversityThe Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University has a student body of 1,200 undergraduates, 260 graduate students, and 70 primary and 73 program faculty.
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Five to 10 years’ experience implementing RCM, CbM/PdM methods, operating building automation and energy management systems, and thorough understanding of asset management, data analytics, and capital planning approaches.
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Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft. We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems.
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Experience with organizational adoption of transformational initiatives – Platform Engineering, DevOps, DevSecOps, Cloud Transformation, Application Modernization. Serving as a technical thought leader and SME for our ecosystem of partners, customers, and service providers in the realm of Modern Apps & Platform Engineering, in addition to serving as a leader of other teammates.
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big data engineering jobs Company: Circle in Atlanta, Fernley, Nevada
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