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This role would be located onsite at our Company headquarters in Parsippany, NJ.The Commercial Enterprise Data Integrity Analyst will be a key point of contact to ensure all trade entry data is entered accurately and timely into our ETRM (Energy Trading and Risk Management) system.
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Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka) Imagine doing so while simultaneously boosting your career in Deloitte & Touche LLP's innovative Cyber Risk - Data & Digital Trust practice.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, Big Query. Knowledge of data Modelling, database design, and the data warehousing ecosystem.
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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Oversee the collection, evaluation, and reporting of adverse event data from clinical trials and post-marketing sources.
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Fantastic opportunity to learn and practice modern software development with modern technologies, including Azure Cloud computing, Data Lake and Databricks, Azure Service Bus, Azure Batch, etc., as well as CI/CD industry standard development circle.
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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) It requires a digital analytics leader with the demonstrated business acumen to leverage data, analytics and technology to identify key insights across consumer and professional media channels - to position AbbVie as best in class in omni channel customer experiences, and to provide an integrated view aligned with other analytic platforms and stakeholder expectations.
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Experience with statistical / data software packages such as Netezza, SQL, Python, SAS Direct Experience with Credit Loss Forecasting (Either CCAR, CECL, or FP&A) If hired in CA, the base pay for this position is generally between $113,318 and $196,428.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Design data models to extend business content objects or create new data models (SAP HANA Modeling and ABAP CDS Modeling) to support self-service operational and analytical reporting needs.
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data job Company: Bluepipes in Parsippany, NJ
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