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Azure Cloud Engineer
Plano, TX
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JPS Tech Solutions LLC
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Job Description: Formal training or certification in Computer Science or 5+ years of applied experience in Azure services (Storage, Compute, Integration, IAM, Networking) and Terraform for Infrastructure as Code (IaC), along with practical cloud-native experience. Proficiency in automation and continuous delivery practices, including CI/CD pipelines using tools such as Jenkins and Spinnaker, and experience with version control systems (particularly Git Skilled in at least one programming lan
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PLC / Controls Engineer
Plano, TX
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Pyramid Consulting Inc.
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BASED ON EXPERIENCE
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Immediate need for a talented PLC / Controls Engineer. This is a 06+months contract opportunity with long-term potential and is located in Plano, TX (Onsite Please review the job description below and contact me ASAP if you are interestednbsp;Job ID: 25-77736 Pay Range: $80 - $95/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location Key Requirements and Technology Experien
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Need Data Engineer
Frisco, TX
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AETG Services PVT LTD
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Role: Data Engineer Location: Frisco, TX Duration: 6 Months Job Description Engineers in this role accomplish business objectives by monitoring system functions from all points of system processing, identifying, and assisting in solving processing problems. The engineer works closely with internal partners and external clients by providing technical assistance on products and services, department reporting and process trending. They are responsible for otimizing Python/PySpark in a Had
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AWS Data Engineer
Dallas, TX
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Location: Onsite in Dallas, Texas (Locals Only)Exp: 14 YearsVisa: H-1B, USC ONLYSKILLS:At least 4+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or PythonAt least 4 years of experience with Python, Spark & PysparkAt least 3 years of experience working on AWS technologies.Experience of designing, building, and deploying production-level data pipelines using tools from AWS Glue, Lamda, Kinesis using databases Aurora and Redshift.Exp
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