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As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of this client's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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As an ETL/ELT Pipeline Engineer, you will be responsible for designing and building efficient data integration pipelines using GCP native tools or open-source technologies such as Python and PySpark.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Work with others to support the following phases of eDiscovery process: identification, preservation, collection, data processing, and limited internal document review. The primary responsibility of this role is to support the Toyota Legal One department with the following phases of the eDiscovery process: identification, preservation, collection, data processing, and limited internal document review.
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Bachelor's degree (or higher) in Computer Science or related discipline, or equivalent work experience. 2 or more years of hands-on experience with EnCase, Cellebrite, Nuix, Magnet Forensics, ZL, Relativity, and other eDiscovery technology solutions.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Deep Adobe Experience Manager Assets expertise, primarily focused on how this coding can scale and support our Omni-Channel marketing efforts Implementation, development, and ownership effectively navigating complex channel requirements for Digital Asset Management and Go-To Market construct Hands on experience with Adobe Experience Manager Assets integrations into Marketing, Advertising and Data Platforms.
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Advanced knowledge of Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Lead a team of developers with deep experience in machine learning, data pipelines, microservices, and full stack systems. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake, AWS.
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Minimum Qualifications:Bachelor's Degree/equivalent in business, human resource management, industrial organizational psychology or data science. Demonstrate a commitment to continuous improvement, and lead efforts to harness the power of data to drive informed decision-making.
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Their experience will allow them to immediately help mature practices related to data loss prevention, cybersecurity training and culture, RCSAs, hybrid cloud, and identity and access management (IAM.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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3+ years of relevant work experience in health insurance, healthcare, public health, pharmacy, advanced analytics, machine learning, data science OR a master's degree in one of the fields listed above OR an actuarial credential.
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Preferred:Master’s degree in Mathematics, Statistics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field. Candidates will need to successfully manage projects and partner with Marketing, Product, Data Science, and other teams.
$89,000 - $168,000Full-timeExpandApply NowActive JobUpdated 6 days ago
data job Title: data science lead in Plano, TX
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