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You will be part of a product development that utilizes Industrial automation process data and perform advanced analytics to provide real-time insights. The engineer will be responsible to process the data and make it ready for consumption by machine learning algorithms
Technical skills:
• Strong analytics skills: ability to assess data, engineer / process it for consumption by ML models
• Proficiency in programming languages & libraries
• Cloud: AWS, Azure.
• Languages: Python, pySpark
• Framework: Lambda , Django, Express.
• Database: Postgres, Mongo, ES
• Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications
• Knowledge on packaging python applications
• Experience in developments related to Industrial Automation Domain is an advantage
Preferred development experience with agile methodologies
Understanding on version control system – git/bitbucket, DevOps toolset, Github Copilot
Ability to leverage productivity enhancing tools to enable faster delivery, more features
Willingness to explore and adopt to new trends and align to organizational goals
Additional InformationThese jobs might be a good fit