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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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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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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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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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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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The Inform and Disseminate Scientific, Analytics and Visualization Team provides high-level public health expertise on all phases of statistical models and interpretation of analysis and studies on big data sets of surveillance and purchased clinical data for performing data analysis.
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Experienced in Bulk Data Upload/Migration Strategy from Legacy System to Oracle CPQ Cloud using Oracle CPQ Cloud APIs. Key skills: Oracle CPQ Big machines, technical development experience.
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Building data ingestion pipelines is highly technical and requires advanced skills with computers and proficiency with Big Data tools and technologies such as SQL, Python/Scala, Spark, Spark Structured Streaming, Spark SQL, Kafka, Sqoop, Hive, Kudu, HBASE, Impala, S3, HDFS, or Cloud platforms such as AWS, GCP, Azure, etc.
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Typically requires 8 - 10 years of related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing. The strategic leader requires the ability to bring together disparate datasets to provide data analytics and reporting on agent performance activity.
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Hands-on experience with big data processing frameworks like Apache Spark, Apache Hadoop, etc. Proven experience as a Data Engineer, Data Architect, or similar role with a focus on AWS technologies.
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Job Description :Big Data Engineer Lead Location: This position will work a hybrid model (remote and office). Preferred Location: Atlanta, GA.The Big Data Engineer Lead is responsible for full delivery of end-to-end system development and maintenance on medium Enterprise-wide technology platforms.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka). Knowledge of data warehousing concepts and solutions (e.g., Amazon Redshift, Google BigQuery). Familiarity with data visualization tools (e.g., Tableau, Power BI) and their data integration capabilities.
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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big data jobs in Atlanta, NC, France
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