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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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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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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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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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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.
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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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Solid fundamentals with HTML/CSS.Web development experience, especially with JavaScript (Node.js, Vue.js, React), or Python (Flask)Experience with big data techniquesExposure to Agile software development methodology.
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Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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big data jobs in Atlanta, SC, Australia
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