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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Or, alternatively, Master's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) developing ML platform applications for Cloud infrastructures (Amazon Web Services (AWS), Azure, Google, and IBM) using Agile Methodologies.
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Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent preferred #LI-BM1 #LI-Hybrid At AMD, your base pay is one part of your total rewards package.
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Title: Cloud Data Engineer Location: Trenton, NJ (Hybrid 3 days in office) Duration: 12 months This senior consultant is for a Cloud data Engineer that will lead in data pipelines and data infrastructure as well as build or assist in any data engineering tasks.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Tableau, Power BI-Big Data- Google Cloud (GCP) Big Data, AWS-Deep learning/Modeling- Statistical modeling, regression models, clustering-Any analytical skills taking data from start to finish to produce processes to improve performance.
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Or Master’s degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering Exceptional coding skills with at least one year professional experience in coding.
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3+ years with data engineering, software engineering, and data science concepts including MLOps and Devops. This position requires expertise in data engineering, software engineering, and data science, as you will be responsible for driving the design and implementation of analytics applications across various domains.
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Experience with big data, analytics, and data science from a platform engineering and support perspective, including Tableau, MicroStrategy, AWS cloud - especially RedShift, Databricks, and Alteryx.
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Requirements: Education preferred Bachelor's Degree in Computer Science, Engineering or a related Field Skills (Required) The ideal candidate will have strong organizational skills and the ability to manage a diverse workload in a fast-paced environment Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
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BSc/BA; Computer Science, Software Engineering, Information Systems, or related technical discipline. years of experience in data or software architectural design, cloud infrastructure, DevOps, or Data Ops years of experience in project & resource management.
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Key job responsibilitiesAs a developer on our team, you’ll own code end-to-end from design to development, and work closely with senior technical leaders within the team and across AWS. You’ll have a sound understanding of computer science fundamentals and practical industry experience, working across the stack with technology involving modern web, SOA, NoSQL databases, AI, ML, Big Data and more.
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