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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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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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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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Experience with building AWS cloud-native data science applications. Prior experience working for one of the following: Experience with at least working knowledge on one of the following products (ACE/ADM, Determinator, Cardguard, TRIAD/PowerCurve) OR A cardbrand, focusing on issuing specific capabilities OR issuing products Prior experience working for one of the big 4 or another management consulting firm, again with emphasis on credit card issuing.
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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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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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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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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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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.
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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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As a senior/principal engineer, you will be responsible for ideation, architecture, design and development of new enterprise data platform. 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
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We are currently seeking a Sales Representative to join our team and focus on selling our products to big box stores such as Home Depot, Lowe's, and Floor & Decor. Industry Knowledge: In-depth understanding of big box store operations, buying processes, and category management within the home improvement sector.
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big data jobs in Atlanta, IA, Massachusetts
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