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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Define and implement data access policies; implement and maintain data security measures and access policies for cloud storage buckets and vector databases.
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Sound technical experience with Data & Analytics technologies such as Apache Spark (Databricks preferred), Cloud DWH (SnowFlake or equivalent), AWS Cloud solutions (EC2, S3, Lambda, ECR/ECS, EKS.
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Previous experience with modeling programs, but not limited to, CAD/AutoCAD software and other engineering product data management (EPDM) software #cj. B.S. in Mechanical Engineering, Aerospace Engineering, or equivalent field of study.
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Develop micro services to enable real time collateral management flows for collateral strategy by building Micro services and real-time streaming with Kafka and Ignite Cache. Utilize Net Core, WebApi, Microsoft SQL, Angular 9, Kafka streaming, and Micro service architecture design to support businesses and projects.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Hands on recent and relevant Data and Analytics architecture design, implementations (AWS, Azure), Snowflake, Event Streaming Platforms(kafka. Our Data Stack is built around heterogenous technologies and we use primarily AWS technologies with Snowflake tools within our ecosystem.
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Ensure effective communication with MCI Engineering, Operations, Quality Engineering and Procurement to identify opportunities for quality and productivity improvements. Collect and evaluate supplier quality data and performance metrics to manage the Supply Chain score card system.
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Langan is seeking an Environmental Engineer to join its collaborative team in Parsippany, NJ. This individual will serve a key function in providing site exploration activities including, but not limited to contaminated site investigation and remediation work; soil and groundwater sampling; vapor intrusion investigation; remedial investigation, design, implementation, and monitoring; remedial system pilot tests; data management, processing, and evaluation; and report preparation.
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S4 HANA.Provide strategic input to the Regional Data Management Leader on any requirements towards master data operations processes and organization, to support the E2E Plan. Consult and help the Business Sr. Director of Data Management to establish data governance and data management practices within the business functions, in line with the framework owned by the Data Governance Office.
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Additionally, the role involves representing the organization in interactions with regulatory agencies, fostering a culture of excellence and continuous improvement within the Global Biometrics and Data Sciences, and serving as a thought leader in the field of real-world evidence.
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Serve as a subject matter expert to BMS internal audiences related to Asset/Indication-level communication landscape, HCP preferences, publication and scientific content planning, data disclosure / dissemination, and represent BMS scientific communications to external investigators, key authors and journal editors.
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You will be expected to work closely with qualitative researchers, data teams in other parts of the organization, business and product teams, and the extended experience design team to track quantitative markers of the user experience.
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In collaboration with MA, Clinical Statistics, Data Sciences, Statistical Programming and other stakeholders to evaluate existing databases, both clinical studies and real-world databases, conduct feasibility assessment to identify fit-for-purpose data sources to address research questions, and develop detailed and actionable analysis plans for evidence generation to deliver high quality, patient-centric evidence and insights to drive decisions.
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Conducts routine geotechnical engineering laboratory checks. Bachelor's degree in Civil Engineering with a minimum of 0 to 3 years of Site Civil, Geotechnical or Environmental engineering experience.
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data engineering kafka jobs in Florham Park, NJ
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