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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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ResponsibilitiesYou will assist with on-call rotations as a Live-Ops Incident Commander to help categorize and track real time data incidents, loop in engineering resources as needed to ensure a timely resolution to data issues.
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The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Procurement group, you will be responsible for establishing and executing sourcing strategies and plans for our Cyber Defense & Engineering + Information Technology department.
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Conducts global HR data integrity audits out of our core HR system (SAP) during various frequencies (daily, weekly, monthly, annually, periodically) to ensure organizational and personnel data aligns with HR Operations data standards.
$65,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work with the Technical Architect, Design Team (Technical Product Manager, Business Analyst, UX Designer), Lead Engineers (FE, BE, Data), DevOps Lead, QA Lead, Data Science Lead, LiveOps Lead, Security Lead: to ensure technical cohesion and quality across all engineering activities including: front-end application development, back-end software/platform development, data engineering, DevOps engineering, data science, QA engineering, security.
$118,070 - $275,490 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Success in the role will require a tight coordination with cross-functional teams and stakeholders, particularly Product, Marketing Analytics, Data Engineering, Ad Ops (Wallpaper) teams, in addition to the marketing channel leads.
$130,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Proven expertise in Natural Language Processing (NLP), ML-Ops, and data pipelines. Hands-on experience with data processing, feature engineering, and model evaluation techniques.
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As an Associate Director of Data Engineering at Ratings division you will be. 2+ years of hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts.
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Experience with Continuous integration, dev-ops, and deployment with tools like Azure DevOps ADO. Experience with Data Management, Data Security, Data Quality, Data Governance.
$143,244 - $287,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AI ML team comprised of experts in AI ML modeling, ML engineers and data science and data engineering teams. A Full-time, Director of MLOps Engineering job is available with our client, a leader in the financial industry, Data Analytics, located in NYC. This is a remote role.
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We are seeking a highly skilled Infrastructure Engineer with expertise in Cloud Computing on AWS, running workloads in Kubernetes, and a focus on ML Ops and other Data Engineering workloads.
$110,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Own design & management of Pursuit data systems at an organizational level & the Fellow journey, managing our Strategy & Ops manager, & Systems & Data ManagerEstablish foundational processes, reporting, & KPIs for new business units.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) ARS is the largest network within Amazon's Fulfillment Network and given its impact on cost, Finance partners play an important role in improving productivity in these FCs. Our team serves as proactive stewards, utilizing data to alert our business partners to the risks and opportunities of the business.
$56,900 - $128,800 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Technology Expertise: Proficiency in relevant technology domains, including apps management, cloud technologies, data engineering, analytics, fintech solutions, and great to have emerging technologies experience such as AI, machine learning, blockchain, and virtual reality.
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Experience influencing, and providing direction to cross-functional teams, including engineering, data science, sales, product, and creative to execute and evaluate marketing campaigns. In this role, you will partner with multiple internal teams including product manager, product marketing, sales, program manager, demand management, data science, creative, marketing ops and analytics teams to plan, build, and launch marketing campaigns anchoring to drive and sustain customer engagements on key company initiatives, or drive demand into Sales Programs.
$122,000 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
ops data engineering jobs in Jersey City, NJ
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