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Sr. Staff Engineer
Teradata
Hyderabad; Bengaluru; Maharashtra, Indien
Veröffentlichungsdatum: 06.08.2026
At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. Our team is responsible for a large-scale and low-latency analytics product. We are working on creating the next generation of the product.
Responsibilities
Build and optimize scalable, end-to-end data pipelines for continuous ingestion, processing, and delivery of streaming data; Write complex, in-stream transformations and aggregations using frameworks like Flink or Spark; Architect and manage low-latency analytical databases (OLAP) such as ClickHouse, Apache Druid, or Apache PinotRequirements
7+ years of experience in data engineering, backend development, or building distributed systems; Proficiency with message brokers and stream processors like Kafka, Spark, or Apache Flink; Strong programming skills in C++, Java or other Object Oriented languages; Bachelor’s Degree in Computer Science or comparable work experienceNice to have
Hands-on experience with real-time analytics databases and SQL will be a plus; Deep understanding of Cloud Technologies; Proactive and solution oriented mindset with a passion for technology and continuous learning; An ability to work independently and take initiative while contributing to the team’s success; Creativity and adaptability in a dynamic environment; A strong sense of ownership, accountability, and a drive to make an impact; AI proficiencyBenefits
People-first culture; Flexible work model; Focus on well-being; Inclusive environmentSo bewerben Sie sich
Online bewerben: https://www.jobs.pl/de/oferta/100311686/aplikuj
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