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Responsibilities:Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Solid hands-on knowledge of at least one programming language (e.g., Python, SAS, R MATLAB, Sharp, Visual Basic, SQL required. The Market Access Analytics Associate Manager selects the appropriate data sources to develop reports and dashboards of Real-World Evidence for market access.
$107,064 - $167,911 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. As a Staff Partnerships Analyst on the Partnerships Analytics team, you will help lead strategic, data-driven decision making at Mailchimp.
$152,000 - $206,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have 1 yr exp w/: creating reusable utilities; Hands on exp w/ Data Visualization tools such as Power BI or Looker; building solutions in the retail or in the supply chain space; & working w/ ML libraries & awareness of ML concepts.
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Lead, hands-on-deploy (from data onboarding, configuration, visualizations, alerting), and seamlessly integrate Elastic products and APIs into intricate platform architectures, harnessing years of technical expertise.
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Minimum of FOUR (4) years of hands-on experience implementing Collibra data catalog, data governance, data lineage, data privacy, and data quality capabilities.
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Hands on experience in Qlik Sense development, dashboarding and data modeling and reporting (ad hoc report generation) techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources.
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Must possess hands-on experience with integration tools (Azure Data Factory, Informatica IICS, or equivalent), enterprise scheduling / orchestration tools (Tidal Enterprise Schedule or equivalent), enterprise Managed File Transfer tool (Cleo Harmony or equivalent.
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Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways,working with remote access and site to site VPN technologies,SAML/SSO, DLP, Data security and understand but also write regex expressions.
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We are looking for talented Senior Application Developer passionate about building large scale Application and Data Solutions to help manage the ever-growing information needs for our clients at AT&T. This role requires a strong Java Tech stack background with previous experience with hands-on programming using various languages and guiding large cross-organizational software development projects as well as a well-rounded experience in current web and micro-service technologies.
$118,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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BS degree required (in life science or related field preferred) with minimum of 4 years of hands-on data management/CDM experience in CRO, biotech or pharmaceutical industry. Proficiency with Medidata Rave EDC, Clinical Data Repositories and Visualization software.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be ‘embedded’ within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Excellent technical skills & proven, hands-on administration experience with Clinical R&D cloud & on-prem technologies including Medidata Rave, SAS, Veeva, RIM, QMS, LIM, eCTD Publishing tools, centralized data governance systems & repositories, analytics & AI/ML tools.
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Strong understanding and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). They contribute to the vision for developing our modern data infrastructure on our Microsoft Azure cloud platform.
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Hands on experience with ETL tooling such as Azure Data Factory, SSIS, Databricks etc. You will work closely with stakeholders, data engineers, data scientists, and other technical teams to architect scalable, efficient, and robust data processing pipelines and analytics solutions on the Azure Databricks platform.
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