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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.
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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Proficiency with data warehouses (e.g., Snowflake, SQL Server, Redshift, Big Query etc.) The Lead Cloud Engineer will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and DataStage.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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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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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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Imagine harnessing the power of machine learning models, big data, and predictive analytics to transform the landscape of data center sustainability. Harness the latest advancements in Data Science, Machine Learning and Artificial Intelligence (AI) to pioneer new approaches that significantly help our sustainability objectives and drive efficiency across our data center operations.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers.
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Understanding of Big data and data cloud-solutions, preferably Azure and Snowflake. Collaborate with the Backend team, Data Architect on data modelling and data warehouse design considerations.
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We Are: Accenture’s SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Architecture, Design and Implementation of Big Data platforms (Data Warehouse, Data lake, Data Mart etc) leveraging Google Cloud offerings. Hands-on experience on Google Cloud Data platform products & services like Big Query, Dataproc, Dataflow, Pub/sub, Analytics and Visualization, automation.
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big data jobs in Atlanta, MO, Canada
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