DevOps Engineer

Job Title: DevOps EngineerCompany: Omnipresent Robot Technologies Pvt. Ltd.Location: Noida Type: Full-TimeAbout: Omnipresent Robot Tech Pvt. Ltd is a dynamic and innovative SNIoE faculty and staff startup in the field of robots/drones/Space Tech. Our team is driven by a passion for pushing boundaries and creating groundbreaking solutions for real-world challenges. Our recent product was a perception and navigation module for Pragyaan rover for ISRO’s Chandrayaan 3 mission.Position Overview: We are currently looking for DevOps Engineer, to contribute to our satellite-based defense project. The selected candidate will play a key role in the deployment and management of the work and will work closely with our experienced team to design and develop a memory architecture and test the ML models that are critical to the success of our satellite module. This job provides a unique opportunity to work in a start-up culture, where innovation, creativity, and problem-solving skills are highly valued.Responsibilities: Define and manage the data architecture framework, standards, and principles, including modeling, metadata, security, reference, and master data. Create solution frameworks integrating large, optical or complex data sets✔ Lead all data modeling efforts within DataBricks, including the design of data structures and the identification of business transformation logic.✔ Creating logical data models based on existing applications and databases to accommodate Data Fusion. Making build and deployment automation enhancements, fixing bugs.✔ Transform the logical representation of the model into a physical representation and work with the data engineering team to instantiate and manage the data.✔ Contribute to innovation and company strategies by exploring, investigating, recommending, benchmarking, and implementing new data-centric technologies for the platform and suggesting data modeling in other projects when needed.✔ Build the infrastructure and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and/or other data technologies.✔ Work with data engineering and analytics experts to strive for greater functionality in our data systems and incorporation of industry best practices.✔ Building CI/CD pipelines using Jenkins/Azure DevOps and troubleshooting DevOps-related issues/bugs.✔ Design and build the best suitable branching strategies for pipelines. Responsible for managing, supporting, and troubleshooting existing pipelines.✔ Providing best practices for tools and technologies as per project requirements. Bridging the gap between Developers and Admins to adopt the best-fit tooling.Qualifications: Suitable Candidate will have a B. Tech degree in CSE/IT (other disciplines are also considerable). Candidate must have relevant projects and working experience in the field of Data Science and DevOps. 3 – 5 years of professional experience is necessary.Technical Skills: ✔ Detailed knowledge of data warehouse/Lakehouse technical architecture concepts, infrastructure components, and ELT process.✔ Proficiency in Python, C++, or other scripting language.✔ Familiarity with API (REST/RESTful)✔ Experience with CI/CD Pipeline maintenance and deployment✔ Extensive and hands-on experience in Jenkins/ Azure DevOps/GCP for data engineering, and ML Ops will be beneficial for your profile; Knowledge and ability to use Big data technologies (Hadoop, Spark, Kafka, Presto, etc).✔ Experience with AWS. In-depth understanding of relevant data engineering best practices.✔ Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, and technologies. Interpersonal Skills:✔ Ability to thrive in a fast-paced environment, responding quickly to oversight and following instructions closely, while anticipating needs and developing efficiencies on repeat tasks.✔ Excellent problem-solving, critical thinking, and analytics skills with the ability to work in a cross-functional team.✔ A quick self-motivated learner who can initiate and drive new projects in anticipation of management and client goals and objectives with little or no supervision.✔ Self-directed and comfortable supporting the data needs of multiple teams, systems, and products.✔ Must be able to adapt to changes in direction