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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Familiarity with health information management principles, healthcare data standards (e.g., HL7, FHIR, etc.
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Data Engineering & Analytics Lead Are you a skilled, experienced Data Engineering & Analytics professional seeking a leadership position in the healthcare industry? This position is responsible for overseeing the design, development, and maintenance of our data infrastructure and analytics solutions and will collaborate with cross-functional teams to drive the strategic use of data across our organization.
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5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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Primary Skills : Hands on with Actimize on SAM (Suspicious Activity Monitoring), UDM (Unified Data Manager),AIS (Anti-Money Laundering Investigation & Case Management) modules- Design , Build and Configuration.
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Hands-on experience to design and build solution powered by DBT models and integrate with databricks. Hands-on Experience to design and build Databricks based solution on any cloud platform.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning) 5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka.
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Perform hands-on rack and stack of data center equipment and structured cabling installation. At least one year of hands-on server and network gear installation and move experience including performing network patching (copper and fiber cabling) within a data center.
$55,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations.
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Hands-on experience with SecDevOps technologies including Docker, Kubernetes, Jenkins, Terraform, and/or Cloudformation. - Hands-on experience with proxies, load balancers, virtual machines, containers, and/or serverless technologies.
$118,800 - $196,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. Utilize hands-on experience in stress testing, Value at Risk (VaR), Fundamental Review of the Trading Book (FRTB), time series analysis, and financial instrument valuation.
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Understanding of data operating models, key media metrics, KPIs and industry standard data sources including databases, DCM and Google Analytics. The Manager, Data & Analytics plays an integral role in leading insight generation for the agency and advertiser client.
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Data sources may include but are not limited to: DQI surveys/review activities related to CCO/HH performance; Incident Management data; DOH HH core measure set; NCI data; CCDD Life Plan data exchange; CCO profile data, etc.
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data management hands on jobs Title: analytics Company: Millar Associates in New York, NY
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