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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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To thrive in this career, you should be curious by nature, self-started and be passionate about continuous process improvement with formal education in quantitative analytics and know design patterns and data structures.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Design, build, and maintain data pipelines from end-to-end, ensuring data accuracy, availability, and quality for the Production, Trust & Safety, and Business Analytics internal customersCollaborate closely with Data Scientists to understand data requirements, develop data models, and optimize data pipelines for advanced analytics and machine learning use cases.
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Collaborate on the design and implementation of data governance and data security policies to protect sensitive marketing data. define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Design, implement, and optimize data solutions using DataBricks for data analytics and machine learning applications. The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Description The Liberty Mutual US Technology Data and Analytics Engineering (DAE) team is seeking a passionate Solution Architect for its Data Strategy & Design (DS&D) team to design our multi-year data & technology strategy for a holistic data ecosystem enabling business and technology capabilities through solutions in data management, Lakehouse, Business Intelligence, Data Science/Advanced Analytics via cloud technologies.
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The Data Software Engineer position will involve design, implementation, testing and launch of new applications for loading dealer data and generating analytical insights. The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery.
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Design and implement Data Migration and Data Integration across cloud and hybrid environments. Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities.
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Significant experience with standard ASIC design tools (UPF, VSI LP, VDCI, synthesis, equivalence checking, static timing analysis, power check tool) You should be familiar with low power design, CDC/RDC, VSI LP, VDCI and clock/reset of a design.
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Implement row-level security on data and understand application security layer models in Power BI.Hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, including design, development, deployment, data engineering, and data management projects and practices.
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Conduct analog and digital printed circuit board design for various application needs. Prior experience with data acquisition systems (especially National Instruments) and LabVIEW code development.
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Design using Verilog, logic simulation, functional verification, & synthesis of DSP & data conversion ICs in a mixed signal environment. Design digital logic circuits and digital filters for applications including Mixed Signal Audio converters and amplifiers, Embedded SoC, Power/Energy Management, high precision Industrial/Data Acquisition products.
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Strong proficiency in creating 3D CAD in Solidworks and managing data in PDM (Product Data Management) software or equivalent (ie Siemens NX and Teamcenter) Strong proficiency in independently developing and delivering hardware products as the responsible mechanical design engineer from cradle to grave.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing.
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About Mantra BioAt Mantra Bio we seek to create better medicines by developing next generation biologics based on our leading proprietary exosome engineering platform, REVEAL. REVEAL integrates in silico computational biology and wet-lab automation to enable the rational design of engineered exosome therapeutics directed at a wide range of tissue and cellular targets.
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