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Apple's Global Business Intelligence (GBI) team is seeking an expert Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Perform data modeling and quantitative analysis to support one or more research projects focused on player and team performance. Experience using data and analytics to define and implement process improvements, focused on product development and/or data-driven decision making.
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This position will be responsible for designing, implementing, and maintaining scalable data pipelines, ensuring data quality and governance, and enabling advanced analytics capabilities for the OIG to support data-driven decision-making processes.
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The selected candidates should understand and be proficient in the development of thermal/mechanical solutions at the silicon, package, and system-level for semi-conductor products; data analysis and characterization, optimization of packaging for increased quality and cost improvement of high-end semiconductor products such as microprocessors.
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Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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Tesla is looking for a highly motivated Senior Data Center Electrical Engineer with a robust background in data center operations and field engineering to lead the design, implementation, monitoring, and day-to-day maintenance of our data center facilities.
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Seeking a dynamic Field Quality Technician with strong leadership skills, ability to identify/mitigate risks and develop quality control programs for one of the most advanced semiconductor facilities in the United States.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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Performs quality assurance and serve as a subject matter expert on data integrity, extraction, and compilation. Work involves conducting detailed analysis of and extensive research on data providing results and monitoring and implementing data quality.
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Bangalore, India. Primary Skill: Data Engineering. Experience in Data Engineering.
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The Marketing Decisions Science team is working to rebuild and modernize our data architecture with a cloud first approach that uses code reusability through a standardized metadata driven approach, and we are looking for an experienced Senior Cloud Platform Data Engineer to own and lead the design of our modern data warehouse architecture and dbt platform for our Marketing Organization.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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As a Design Verification Engineer, you will be part of a dynamic team working with the best in the industry, focused on developing innovative ASIC solutions for Facebook's data center applications.
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Quality Manager – Metrology and Quality Control. Support Manufacturing and Operations to remedy adverse quality or compliance situations. Knowledge of technical writing quality and best practices.
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Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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data quality jobs Title: data quality analyst in Austin, TX
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