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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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About DeleteMe: DeleteMe stands at the forefront of proactive privacy protection, assisting individuals, families, businesses, and security teams in minimizing their exposure to online threats. We specialize in the continuous monitoring and removal of personally identifiable information (PII) from the open web, effectively safeguarding our clients against social engineering, phishing, AI-generated deepfake attacks, doxxing, identity fraud, and physical threats.As a rapidly growing global SaaS provider, DeleteMe caters to both consumers and enterprises, having successfully executed over 100 million opt-out removals. Our services are tailored to mitigate risks associated with identity theft, spam, and other cybersecurity challenges. We offer comprehensive privacy reports, ongoing monitoring, and expert support to guarantee sustained protection.DeleteMe serves as a scalable, managed defense layer for your most critical asset: your people. This is why 30% of the Fortune 100 companies, leading tech firms, prominent banks, federal agencies, and various U.S. states trust DeleteMe to safeguard their workforce.Our team is fueled by a strong mission to empower consumers with privacy, and we are committed to delivering exceptional results.Job Summary:As a vital member of the Data Warehouse team, the Data & Analytics Engineer will play a crucial role in bridging the gap between raw data engineering and business strategy. This position involves designing, constructing, and optimizing scalable data models in Snowflake using dbt, while ensuring high data integrity and performance. The ideal candidate will balance technical warehouse architecture with the capability to translate complex business needs into actionable data products.
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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.
Join Continental AG as an IT Engineer specializing in Data & Analytics DevOps. In this role, you will be responsible for designing, implementing, and maintaining robust data analytics solutions. You will work closely with cross-functional teams to ensure data integrity, availability, and security.Key responsibilities include:Developing and optimizing data pipelines.Monitoring and enhancing data processing workflows.Collaborating on data architecture and analytics strategy.We seek a proactive individual who is passionate about leveraging data for strategic decision-making and driving innovation.
Join our dynamic team at Western Digital as a Staff Engineer in Data Analytics Engineering. In this role, you will leverage your expertise in data analytics to drive innovative solutions and contribute to our mission of pushing the boundaries of data storage technology. Your analytical skills will play a vital role in transforming data into actionable insights that enhance our products and services.
Role overview Western Digital Corporation seeks a Senior HR Data Analyst in Bengaluru. This role centers on working with complex HR data, using SQL and analytics to provide insights that inform strategic decisions. The focus is on making data understandable and actionable for the HR team and leadership. What you will do Work with large HR datasets, applying SQL and analytics tools to extract meaningful information Develop clear data visualizations that highlight trends and support HR strategies Present data findings and offer recommendations to improve HR processes Requirements Extensive experience with SQL and data analysis Ability to design effective data visualizations Strong analytical skills and attention to detail Genuine interest in using data to enhance HR outcomes
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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.
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Apr 24, 2026
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