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Experience Level
Entry Level
Qualifications
The ideal candidate will possess a degree in Computer Science, Information Technology, or a related field. Proficiency in data engineering tools and frameworks, as well as experience with cloud platforms and DevOps practices, is essential. Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment will be key to your success in this role.
About the job
Join our innovative team at Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for developing and maintaining data pipelines, ensuring the integrity and efficiency of our data processing workflows, and collaborating with cross-functional teams to drive data-driven decision-making. You will leverage your expertise in DevOps practices to enhance our data analytics capabilities and streamline our data operations.
About Continental AG
Continental AG is a leading global technology company that specializes in automotive safety, efficiency, and connectivity. With a commitment to innovation and sustainability, we shape the future of mobility and enhance the driving experience. Join us and be part of a team that values creativity, collaboration, and continuous improvement.
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Join our innovative team at Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for developing and maintaining data pipelines, ensuring the integrity and efficiency of our data processing workflows, and collaborating with cross-functional teams to drive data-driven decision-making. You will leverage your expertise in DevOps practices to enhance our data analytics capabilities and streamline our data operations.
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Full-time|₹500K/yr - ₹2M/yr|On-site|Bengaluru, Karnataka, India
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Teamwork makes the stream work. Roku is revolutionizing the way the world experiences televisionAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku aims to empower every television globally. With a pioneering spirit, we connect users to their favorite content, support content creators in growing their audiences, and provide advertisers with innovative ways to engage viewers.From your first day at Roku, you'll be an integral part of our journey. As a fast-growing public company, everyone here plays a crucial role. Join us in delighting millions of TV streamers worldwide while gaining invaluable experience across various disciplines. About the TeamThe Roku Data Engineering team is dedicated to building a state-of-the-art big data platform that empowers both internal and external stakeholders to leverage data for business growth. Our team collaborates closely with business partners and engineering teams to gather metrics on essential initiatives for success. As a Senior Data Engineer focused on device metrics, you will design data models and develop scalable data pipelines to capture critical business metrics across our diverse range of Roku devices. About the RoleAt Roku, we connect users to the streaming content they love and enable content publishers to monetize large audiences while providing advertisers with unique capabilities to engage consumers. Our Roku streaming players and Roku TV™ models are available worldwide through direct retail sales and partnerships with TV brands and pay-TV operators. With millions of devices sold in numerous countries, thousands of streaming channels, and billions of hours of content consumed, the development of a scalable, highly available, fault-tolerant big data platform is crucial to our success. This role is based in Bengaluru, India and requires hybrid work, with three days in the office. What You'll Be DoingDevelop and maintain highly scalable, fault-tolerant distributed data processing systems (both batch and streaming) handling terabytes of data ingested daily and managing a petabyte-sized data warehouse.Design and implement efficient data models and pipelines that support business growth and decision-making.
Mar 28, 2026
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