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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Good coding experience with C#/Java/Python. Good understanding of database technologies (Relational database and NoSQL) preferably on SQL Server and MongoDB. Proficiency in developing web applications / APIs preferably on C#, WPF, C.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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PC Skills : Proficiency in LabVIEW, Python, VBA, VB, C (C, C. Industrial Robotics : Experience with Fanuc, Epson, Denso, and ABB. HMI Experience : Familiarity with Rockwell, Siemens, Maple Systems, Wonderware, and Inductive Automation Ignition.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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PC – LabVIEW, Python, VBA, VB, C (C, C. Industrial Robotics – Fanuc, Epson, Denso, ABB. Experience in several of the following environments: HMI – Rockwell, Siemens, Maple Systems, Wonderware, Inductive Automation Ignition.
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Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem. Strong experience in coding languages like Python, Scala & Java.
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1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc. 2+ years of experience with Cloud based DW such as Redshift, Snowflake etc. 1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake.
$50 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 12+ years’ experience in data engineering, AI and ML and Aws/Azure. Experience with container management frameworks such as Docker, Kubernetes, ECR etc. Works with the data engineering team for all phases of larger and more-complex development projects and engages with external users on business and technical requirements.
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Experience in pub/sub streaming technologies like Kafka, Kinesis, Spark Streaming etc. At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure. Experience with transformation tools such as dbt.
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Master’s degree in Geography, Environmental Sciences, Data Science, Petroleum Engineering, or related field with 5+ years relevant work experience programming in Python for non-spatial and spatial data acquisition, processing, and analytics.
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Experience in programming languages such as Python, R, C. NV5 is a provider of engineering and consulting services to public and private sector clients, delivering solutions through six business verticals: Testing, Inspection & Consulting; Infrastructure; Utility Services; Environmental Health Sciences; Buildings & Program Management; and Geospatial Technology.
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Strong command of Python, R, SAS, or Scala. Experience with data visualization software (e.g. Tableau, QlikView, PowerBI, Datorama). Strong command of Python, R, SAS, or Scala. Manage medium scale of cross-function/ cross-country marketing investment and programs.
$121,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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