DevOps Engineer

Job Description Job Title: DevOps Engineer Company: Omnipresent Robot Technologies Pvt. Ltd. Location: Noida Type: Full-Time About: 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