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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Deep Learning and Computer vision.
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This opportunity is ideal for an individual with a deep technical understanding of cloud computing providers including AWS and Google Cloud. You will: document, design, develop, and implement cloud computing architecture leveraging IaC tooling to support the global mission of the Technical Sales team to demonstrate the power of the CrowdStrike Falcon platform.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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This position is part of the GBS IT Infrastructure Division that provides holistic support for numerous IT domains including Project Management, Hosting (including Cloud Computing), Network, Telecom, Unified Communications, End User Computing, and Information Security.
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A technical bachelor's degree (Computer Science, Information Technology/Systems) Design and architect scalable, secure, and cost-effective data solutions using GCP services such as BigQuery, Dataflow, Dataproc, Dataprep, Composer, Data Fusion, Data Studio, Cloud SQL, Cloud Functions and Cloud Storage.
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Key Qualifications: 7+ years experience building enterprise level applications on large-scale distributed systems Deep knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera In-depth understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Expertise in programming and developing high quality software.
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Senior Network Developer (Hyperscale Network Design)Location: United StatesSupports the design, deployment, and operations of a large-scale global Oracle cloud computing environment (Oracle Cloud Infrastructure - OCI.
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A degree in engineering, computer science, engineering technology, or a related field may be substituted per LCRA guidelines for certain years of experience. - Bachelor's degree in engineering, computer science, physics or mathematics.
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We need someone with strong Microsoft Cloud experience, including Azure, and deep exposure with tools such as Snowflake and/or Databricks. You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Architect cloud applications with core experience in modern application architecture, cloud computing, Identity and Access Management, IT infrastructure and security. Experience in systems design, programming, implementation and integration of complex distributed IT solutions (e.g. cloud, distributed systems or high-performance computing.
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Not required, but typically holds BsC or MsC college/university degree in Information Security, Cybersecurity, Computer Science or Software Engineering. 2+ years’ experience using Splunk for Incident Management and processes supported by Identity Management, Phishing handling, On-Call systems, End point Detection and response, AWS cloud security tools.
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Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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Expertise in internals of deep-learning frameworks like PyTorch, JAX, TensorFlow, etc. Expertise in building deep-learning models in PyTorch, JAX, or TensorFlow. Dive into internals of open-source deep learning frameworks and enhance their functionality.
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