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Grow and build a strong global software and data engineering team, focusing on attracting and hiring top talent. Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
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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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Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
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The Walt Disney Company Direct to Consumer's (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Experience designing and implementing solutions to large scale data problemsAre interested in solving business problems for Stripe’s Finance teamMinimum requirementsHave 5+ years of industry Software Engineering experience.
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Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.
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Knowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue,AWS Lambda. The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy.
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Experience with complex data analysis software for flow cytometry such as FlowJo, FCS Express, OMIQ.AI, SPADE, viSNE and CITRUS. Familiarity with flow cytometry data qc processes.
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Proficiency in 3D modeling software tools such as Rhino, Sketchup, and 3D Studio Max preferred. Experience in complex building heat transfer analysis and in using IES-VE, Energy Plus, or other equivalent industry standard software packages is preferred.
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Career Level - IC4As a member of the software engineering division, you will apply intermediate to advanced knowledge of software architecture to perform software development tasks associated with developing, debugging or designing software applications or operating systems according to provided design specifications.
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Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area. Minimum 1 – 2 years of cradle to grave Project Management.
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Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited. You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines.
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A Juris Doctorate, PhD, MBA or a Master degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics may also be considered. Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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Use software such as SQL, R, Stata, SAS, Python, or Snowflake. Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information.
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big data software engineering jobs Title: big data engineer Company: Synopsys in San Francisco, CA
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