Data Engineer in nOps.io

Пряме повідомлення учасника, який розмістив вакансію, з nOps.io Iqra Javed HR Administrator at nOps Do you thrive on building strategic relationships and driving business growth? Are you passionate about cloud optimization and helping customers achieve success? If so, then nOps.io wants you!About nOpsnOps.io empowers teams with automated FinOps solutions, creating an effortless experience to optimize cloud resources. Our platform sets us apart with its:Built-in AI: Leveraging cutting-edge artificial intelligence, nOps.io automates cost optimization across your entire AWS infrastructure.Organizational Awareness: Our intelligent tool doesn't require constant configuration adjustments. Set it up once to ensure you're optimizing costs across various AWS resources, and nOps.io takes care of the rest.With nOps.io, you can:Pay less: Reduce cloud costs without financial risk by paying only for what you use.Use less: Automatically pause idle resources for maximum efficiency.We are a customer-obsessed company driven by a core value of exceeding expectations through exceptional products, solutions, and support.The RoleWe are looking for a talented and experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for building, maintaining, and optimizing our data pipelines, ensuring the smooth flow of data across systems, and supporting our analytics and reporting needs. This role requires a strong technical background, attention to detail, and a passion for data.ResponsibilitiesData Analysis: Conduct thorough data analysis to identify patterns, trends, and opportunities within large datasets related to cloud infrastructure and operations.Data Visualization: Create compelling data visualizations and dashboards to communicate findings and insights effectively to both technical and non-technical stakeholders.Collaboration: Collaborate with cross-functional teams, including engineers, product managers, and customer success teams, to integrate data-driven solutions into the nOps platform.Continuous Learning: Stay up-to-date with the latest advancements in data science and cloud technology to bring innovative ideas and best practices to the team.QualificationsBachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Proven experience as a Data Engineer or a similar role in a technical and data-intensive environment.Proficiency in programming languages such as Python.Strong understanding of machine learning techniques, statistical analysis, and data modelling.Experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud data services is a plus.Familiarity with database systems (e.g., SQL, NoSQL).Excellent problem-solving skills and the ability to work independently or in a team.Strong communication and presentation skills, with the ability to convey complex ideas to a non-technical audience.A passion for data-driven decision-making and a desire to make a significant impact in the cloud management space.Why nOps.io?Join a rapidly growing company at the forefront of cloud optimization. We offer a collaborative and fast-paced environment where you can make a real impact. You will have the opportunity to work with talented individuals and be part of a team that is passionate about helping businesses succeed.Ready to join our team? If you are a highly motivated and creative Data Engineer looking to work on cutting-edge cloud technology and make a real impact, we encourage you to apply and join our talented team at nOps. Show more Show less Тип зайнятості Повний робочий день