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Position: Production Support Engineer (Python Scripting) Location: Bengaluru Job Title: Production Support Engineer (Python Scripting) Location: Bangalore Experience: 1-3 yrs Immediate Joining Qualifications: Proficiency in Python scripting language. Experience with databases such as MongoDB, SQL, and Redshift . Strong understanding of AWS services and cloud infrastructure . Knowledge of automation tools and frameworks . Key Responsibilities: Product Support and Maintenance: Provide technical support and troubleshooting for product-related issues. Collaborate with cross-functional teams to resolve technical problems. Work with development to create runbooks Scripting and Automation: Develop and maintain scripts using Python or similar scripting languages to automate routine tasks and processes. Implement automation solutions to enhance the efficiency of AWS operations . Database Management: Work with various databases such as MongoDB, SQL, and Redshift to manage data storage, retrieval, and processing. AWS : Should have basic understanding of aws services and terminology. Collaboration and Communication: Work closely with product development, operations, and other teams to ensure smooth integration and deployment of solutions. Document processes, solutions, and best practices for internal and external use. Position: Production Support Engineer (Python Scripting) Location: Bengaluru Job Title: Production Support Engineer (Python Scripting) Location: Bangalore Experience: 1-3 yrs Immediate Joining Qualifications: Proficiency in Python scripting language. Experience with databases such as MongoDB, SQL, and Redshift . Strong understanding of AWS services and cloud infrastructure . Knowledge of automation tools and frameworks . Key Responsibilities: Product Support and Maintenance: Provide technical support and troubleshooting for product-related issues. Collaborate with cross-functional teams to resolve technical problems. Work with development to create runbooks Scripting and Automation: Develop and maintain scripts using Python or similar scripting languages to automate routine tasks and processes. Implement automation solutions to enhance the efficiency of AWS operations . Database Management: Work with various databases such as MongoDB, SQL, and Redshift to manage data storage, retrieval, and processing. AWS : Should have basic understanding of aws services and terminology. Collaboration and Communication: Work closely with product development, operations, and other teams to ensure smooth integration and deployment of solutions. Document processes, solutions, and best practices for internal and external use.
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