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The Genomics Data Analyst will assist the Reporting Department with the analysis of next-generation sequencing (NGS), Sanger, MLPA, and other types of molecular genetics data. Labcorp’s Women’s Health and Genetics Division is seeking a Genomics Data Analyst to join our Reporting Department at MNG in Atlanta, GA.
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Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions. 3+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
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Working knowledge of UiPath Cloud’s ecosystem of tools, including Orchestrator, Studio, Document Understanding, AI Center, Connectors, RE Framework, Integration Services, Data Service, Insights, Process Mining, Task Mining, Test Automation, etc.
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The Senior Occupancy Planner provides space planning, data mining, reporting, and interpretation of space planning metrics for financial services client's needs. Responsible for reviewing and maintaining occupancy data within the system of record.
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Candidate must have experience in the areas of migrating Data and portfolios from one platform onto Loan IQ. They are consolidating loan data from the donor applications like ACBS, AFS and other lending application onto Loan IQ.
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Experience with statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods. 1 year of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.) Extensive applied Agile experience, applied Scrum Master experience, and expertise in some/all the following: Medicaid - MMIS - MECT - Health care - Data warehouse - Analytics - JIRA.
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NET based applications, the organization's databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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NET based applications, client databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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Strong experience with BI tools (e.g. Tableau, Power BI, QlikView) as well as with data warehousing technologies and data lakes (e.g., Snowflake, Amazon Redshift, Google BigQuery). Extensive experience with ETL processes, data integration, and managing large-scale data environments as well as with data tools (e.g. Informatica, Talend, Apache Nifi.
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NET based applications, databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Hands on experience in Mule connectors, Data weave, API designer. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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Technical expertise with data models , data mining , and segmentation techniques. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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data mining jobs Title: analyst Company: Abbott in Atlanta, GA
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