Website Reliance
Job Responsibilities :
.
- Manage the automation projects activities that are assigned as new or operational enhancement initiatives in R&D functional areas.
- Contribute in designing, implementing, configuring & testing automation systems, applications & tools, instruments and device interfacing architectures.
- Develop project proposals, detailed design specifications, operations & control philosophy, technical recommendation, user and training manuals.
- Contribute in validations & certifications during factory acceptance & site acceptance testing for automation systems and integration packages
- Coordinate with basic & detailed engineering partners during project designing and execution stages.
- Troubleshoot user issues related to data acquisition, tag configuration, historian management, custom definitions, query management, and alert monitoring.
- Performance monitoring and periodic auditing for ensuring uptime availability and improve effectiveness of implemented automation system.
- Review & update SOPs, SMPs, procedures and guidelines documentation.
- Conduct user awareness & trainings to increase adoption and system usage
- Ensure periodic back-ups of process data, databases & system configurations
- Monitor & audit compliance with site HSE procedures / practices and Information security requirements.
Education Requirement :
- B.E. / B.Tech in Electronics, Computer Science, Instrumentation, Industrial Automation, Biotechnology from reputed institute.
Experience Requirement :
- 6-8 years as laboratory informatics , data engineer, database administrator, application developer, managing scientific tools, applications & analytical lab instrument data management
- 3-4 years# experience desirable as research data scientist, data engineer managing systems and application development in scientific or research organisation.
Skills & Competencies :
- Aptitude towards information, communication and network technology to design, build and maintain automation systems, applications & interfaces.
- In-depth knowledge of Laboratory informatics, SQL and scientific databases
- Computer Science fundamentals and general purpose programming languages
- Design, construct, install, test and maintain highly scalable data management systems.
- Ensure systems meet business requirements and industry practices
- Build high-performance algorithms, prototypes, predictive models and proof of concepts
- Research opportunities for data acquisition and new uses for existing data
- Develop data set processes for data modelling, mining and production
- Integrate new data management technologies and software engineering tools into existing structures
- Create custom software components and analytics applications by employing variety of languages & tools (e.g. scripting languages), interface systems
- Working knowledge of Data warehousing and application of various ETL tools.
- Applying machine learning algorithms and libraries
- Recommend ways to improve data reliability, efficiency and quality
- Collaborate with data architects, data scientists and analysts on project goals
- Has strong analytical skills, a self-starter and has a passion for excellence
- Apply innovative ideas in problem solving with reasoning skills
- Aptitude to understand diverse functional domains for relevant projects.
- Team player, strong co-ordination and communication skills.
To apply for this job please visit careers.ril.com.