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Angular & Node.js Developer

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New Delhi, India Luxoft Full time

Project Description: As a Front-end Data Management developer, you will have the opportunity to contribute to the data management architecture of industry leading software. You will work closely with cross-functional teams and regional experts to design, implement, and support solutions with a focus on data security and global availability to facilitate data-driven decisions for our customers.Responsibilities: Design and Development: Plan and implement new functionality and features in globally deployed E&P services. Shape enterprise-level user experiences: Model, create, and improve the next generation of user experiences for E&P customers. Automation: Develop and maintain automation CI/CD pipelines to handle all stages of the software lifecycle. Monitoring and Troubleshooting: Monitor customer environments to proactively identify and resolve issues while providing support for incidents. Data Security: Implement and consistently improve measures to protect sensitive information and ensure compliance with regulations. Documentation: Write and maintain documentation for processes, configurations, and procedures.Mandatory Skills Description: 5+ years of experienceTechnical Skills: Software languages: NodeJS, Angular Database technologies: RDBMS (Postgres preferred), no-SQL (Cassandra preferred) Cloud Platforms: AWS, Azure or Google Cloud Cloud Managed Services: RDS, Messaging, Server-less Computing, (AWS Lambda preferred) Containerization (Docker, Kubernetes) Version Control: Git.Qualification and Soft Skills: Bachelors degree in Computer Science, Software Engineering, or a related field Strong desire to stay up to date with the latest trends and technologies in the field. Customer-driven and result-oriented focus. Excellent problem-solving and troubleshooting skills. Ability to work independently and as part of a team. Strong communication and collaboration skills.Nice-to-Have Skills Description: Knowledge in the E&P Domain (Well, Seismic, Production data types) GIS experience is desirable Python