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3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc) Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.) 3+ years of experience in data management, data engineering, data analytics, product management or a similar background.
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Ensure compliance with NERC, ERCOT, and PUCT Reliability Standards and Transmission Planning Criteria. Hands-on experience with PUCT CCN and ERCOT Regional Planning Group processes. Power systems background including a thorough understanding of transmission planning and NERC reliability standards.
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Candidate should have solid technical expertise in quantitative pharmacology and strong hands-on modeling and simulation experience with Pheonix WinNonlin, R, SimBiology, SimCYP, GastroPlus and/or other modeling and simulation software and data visualization tools.
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The group is also chartered with continuing to develop state of the art analytical insights, tools, and assessments of new data and interpretation of existing data with emergent technologies in geosciences, geotechnical engineering, and seismic engineering.
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Experience working closely with other engineering teams and cross-functional teams like Product, Design, Sales and Platform Growth. You will be responsible for our full-stack partner integration process spanning across data and marketing integrations, external developer tooling and our partner-facing dashboard.
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Motivation to influence our engineering organization to level-up the reliability and performance of the mobile apps we ship. The Mobile Performance & Reliability team is responsible for guiding Square’s mobile engineering organization to deliver highly performant and reliable experiences to our sellers, while also improving Square’s ability to observe apps in the wild and respond to issues proactively.
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How you’ll make an impact:Lead and drive the development of data engineering technology and platforms for the company's data needs, ensuring their reliability, performance, and flexibility.
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AutoRABIT is looking for a Senior Site Reliability/DevSecOps Engineer to help develop, scale, and operate our cloud services. Site Reliability or DevSecOps engineer with a passion for automation, reliability, scalability, monitoring, and capacity planning, with the breadth of knowledge necessary to support a wide variety of software and systems.
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In your role as a Site Reliability Engineer, you’ll use your skills to help instrument our systems so they can be easily built, observed, monitored, tested, and deployed at scale, and ensure Skytap’s services perform well for enterprise customers.
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Our paid focus group members come from all backgrounds and industries including remote data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, driver, medical assistant, nurse, call center representative, etc.
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It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done Qualifications You Have: 5+ years of Machine Learning modeling experience.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) The award-winning software was built to capitalize on the performance power of cloud data warehouses to combine data sources and analyze billions of rows of data instantly via an intuitive, spreadsheet-like interface – no coding required.
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Partner with Site Reliability Engineering(SRE) to implement monitoring, alerting, and automation for infrastructure reliability, scalability, and cost-efficiency, contributing to a highly available and performant hybrid cloud environment.
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The incumbent for the College Advisor administers academic advising and student services for CDSS. This position provides undergraduate students with guidance regarding CDSS majors, enrichment opportunities, student support and engagement, resources and tools available to students, as well as college and University academic requirements.
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data engineering services hands reliability jobs Company: Dice in San Francisco, CA
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