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Experience with healthcare regulation, including: fraud and abuse (e.g., anti-kickback); FDA for medical devices; data use and privacy (e.g., HIPAA, GDPR); and anti-corruption (e.g., FCPA). Experience with healthcare regulation, including: fraud and abuse (e.g., anti-kickback); FDA for medical devices; data use and privacy (e.g., HIPAA, GDPR); and anti-corruption (e.g., FCPA.
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Wir freuen uns auf deine Bewerbung als Data Protection Specialist (w/m/d)! Data Protection Specialist (w/m/d) Tiefgehende Kenntnisse des Regelwerks zum Datenschutz, insbesondere des Standard Datenschutz Modells (SDM) und mehrjährige Erfahrung im Datenschutzbereich.
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Knowledge of data visualization tools (e.g., Power BI, Looker Data Studio) and data pipeline orchestration tools (e.g., Apache Airflow) is a plus. Experience with ELT tools (e.g., FiveTran, Airflow, DBT) and data integration techniques.
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Extensive professional experience in at least one of the following; Analytics Engineer, Data Scientist, Business Intelligence Developer, or Data Engineer. Grow the applications through A/B Testing, simulations, Analytics and other data-driven processes.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Als verantwortungsbewusste Persönlichkeit gelingt es dir, jüngere Data Engineers zu coachen und Projekte anzuführen, Backlogs zu verwalten, PRs zu überprüfen sowie Best Practices für die Programmierung durchzusetzen.
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As a patent data quality analyst you are comfortable with working with large data sets of patent and standards documents to run statistical analysis, perform plausibility tests and ensure that result sets and data tables across all IPlytics databases are of the highest quality.
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Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM. We are seeking a strong German speaking Data & Analytics Architect to join our team in Germany.
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We are seeking a S4 Data Center Technician Shift Lead who can drive the local execution of standardized workflows, triage unexpected anomalies and identify opportunities to scale as part of our Norwegian team.
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Experience working on data-driven systems using technologies such as Airflow, DBT and/ or Looker. You’ll be working with other Backend Engineers, a Data Analyst, Data Scientists and an Engineering Manager who has been with the business for 6 years (they started as a mid-level Engineer.
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As a plus: knowledge of Databricks/Spark, modeling methods such as Snowflake or Data Vault. You are experienced in using Infrastructure as Code (IaC) tools such as Terraform, are familiar with DevOps and CI/CD concepts and have gained experience in the area of modern data warehouses, lakehouse architectures and big data including migration strategies.
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Sehr gute SAP Kenntnisse rund um SAP ABAP Entwicklung (Data Dictionary, IDoc Nachrichtenverarbeitung, ABAP Object Programmierung) Sehr gute SAP Kenntnisse rund um SAP ABAP Entwicklung (Data Dictionary, IDoc Nachrichtenverarbeitung, ABAP Object Programmierung.
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Keywords: data, data engineering, team lead, Frankfurt, data lakes, Big Data, API’s, greenfield, Microservices, Java, scalable, clusters, distributed systems, SQL, NOSQL, Vertica, Hadoop, Spark, Kafka, Druid, MySQL, AWS, Scrum, Linux, Kubernetes, CI/CD, monitoring.
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Du bringst zusätzlich Erfahrungen in Tools wie Databricks, Azure Synapse, SQL-Server, PostgreSQL, MySQL, NoSQL Datenbanken wie CosmosDB oder MongoDB, Azure Data Factory, Airflow, sowie BI-Tools wie Tableau, Qlik, Looker oder DAX in PowerBI mit.
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Should possess in-depth knowledge in Forecast generation based on historical data/statistical calculations, its consumption based on rules for CTO and planning bills as part of Demand Planning and ATP based on collected data to recommend schedule ship date for SO based on capacity and material constraints.
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data job Title: technician in Germany
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