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