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We are looking for talented Senior Applications 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.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. As a Principal Product Scientist on the Product Science team, you will help lead strategic, data-driven decision making at Mailchimp.
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Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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Hands-on experience on QRadar (or QRoC), Proofpoint & Crowdstrike. Hands-on experience on XSIAM, Cortex XSOAR. Hands-on experience on Netskope.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Provide leadership and set strategic vision and direction for the Sports Content Analytics team focused on ESPN+ content performance, cross-platform sports audience insights, and sports DTC programming strategy.
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Demonstrated ability to meet project deadlines on a consistent basis with quality products Ability to identify and understand issues and develop solutions. In this role, the Sr. IA Developer is expected to assist with overall solution architecture design, clarify requirements, provide development estimates, complete code assignments, complete unit and system integration tests, support QA testing, support Production migration, and post-production support as necessary.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Architecture Design: Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems.
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Participate in client meetings to advise clients on multiple data protection products and solutions including enterprise data loss prevention, data classification, digital rights management, cloud data loss prevention / cloud access security brokers, tokenization, file and database encryption.
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The On-Call Forester may be called in to work on emergency response, storm work, or scheduled work that is not able to be covered by current staff. The On-Call Forester reports to the Strategic Workforce Team Manager at ACRT. This position will play a key role in helping ACRT to support clients better when project demand exceeds the capacity of the full-time workforce.
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PROJECT: Large eco system; moving from OnPrem to Cloud Migration – we need a strong AWS infrastructure architect with hands on experience. · Provide expertise on on-prem to AWS cloud and migration of infrastructure to AWS cloud.
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Strong hands-on experience implementing and using cloud-based storage, data lake, analytics, visualization, SQL, container, dev ops and security services. Experience with Collibra, Purview, BigID, Unity Catalog and/or equivalent metadata, data quality and data cataloging technologies.
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TasksTasksPosition OverviewPorsche Cars North America (PCNA) is looking for a talented attorney with experience in U.S. data privacy compliance to advising clients on a wide variety of data privacy matters, including compliance with evolving State laws.
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We are looking for Sr Product Manager to own the GRC relationship on behalf of Data Products & Platforms within Disney Experiences (DX). Be the go-to person for GRC for all matters relating to their data needs and stay up to date on compliance, business and operational approaches to ensure data assets are governed and compliant.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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data quality hands on migration jobs in Atlanta, NC, Germany
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