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Preferred Skills: Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery) Experience with photogrammetry Knowledge of DevOps practices and tools (e.g., Jenkins, Git.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. 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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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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AA degree in Material Science, Chemistry, Chemical Engineering, Physics, Electrical Engineering or 1yr+ direct hands-on experience with analytical laboratory sample preparation and analysis techniques.
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Minimum of 2 years of experience in ETL and data engineering using Python, AWS Glue, AWS EMR /PySpark and Apache Airflow. Johnson & Johnson Innovative Medicine Technology (IMT), the Enterprise Technology group supporting all business functions under Johnson & Johnson is currently recruiting for Data Engineer, Technology Product Management within our Global Commercial Data Science JJIM Commercial Pharma business.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Big Data Engineer.
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This role has production responsibility for the organization’s Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku.
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Ph. D. degree in Chemical Engineering, Mechanical Engineering, Chemistry, Inorganic Chemistry, Materials Science or Equivalent. Master's degree in chemical engineering, Mechanical Engineering, Chemistry, Inorganic Chemistry, Materials Science or Equivalent.
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The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.
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big data science engineering jobs Company: Capitalg Management Company Llc
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