Karat
Karat
Karat tashkilotlar uchun texnik xodimlarni yollash jarayonini yaxshilashga yo‘naltirilgan HR texnologiyalari va SaaS kompaniyasidir. Uning platformasi uzluksiz suhbat o‘tkazish imkoniyati, izchil baholash va nomzodlar uchun yanada qiziqarli tajribani ta’minlash maqsadida texnologiyani ekspertlar boshchiligidagi suhbatlar bilan birlashtiradi. Karat kompaniyalarga suhbat o‘tkazishning barcha yukini ichki jamoalarga yuklamagan holda muhandislik sohasidagi yollash ko‘lamini kengaytirishga yordam beradi. Platforma, shuningdek, adolatliroq baholash, ichki kadrlar harakatchanligi va global yollash dasturlarini qo‘llab-quvvatlaydi. U mavjud rekruting ish jarayonlariga moslashish va ish beruvchilarga texnik iste’dodlarni baholashning ishonchli usulini taqdim etish uchun ishlab chiqilgan.

Senior Data Engineer, India (Remote)

Build cloud data pipelines and models at Karat, the world’s largest interviewing company. Improve data quality, reliability, and analytics infrastructure.

Tavsif

  • Build and maintain scalable cloud pipelines for product, operational, and third-party data.
  • Own pipeline architecture, orchestration, monitoring, reliability, performance, and data quality.
  • Create workflows, transformations, and models that turn raw data into trusted, actionable information.
  • Improve data quality with validation, observability, monitoring, and clear ownership of critical datasets.
  • Manage and improve the data stack, including PostgreSQL, Redshift, Airflow, and Terraform.
  • Promote data literacy across technical and non-technical teams through clear communication and partnership.
  • Work with Product, Engineering, Data Science, Analytics, and business teams.

Talablar

  • Bring 5+ years of experience in data engineering, software engineering, machine learning, or a related technical role.
  • Have strong experience building, operating, and improving production data pipelines.
  • Demonstrate expertise in relational and columnar databases, advanced SQL, and dimensional modeling concepts such as fact and dimension tables.
  • Be proficient in Python, Docker, and workflow orchestration tools such as Apache Airflow.
  • Have hands-on experience with AWS or a comparable cloud platform.
  • Apply sound software engineering practices, including version control, code review, testing, observability, and documentation.
  • Communicate effectively in written and spoken English.
  • Collaborate effectively with globally distributed teams.
  • Reside in Bengaluru, India (formerly Bangalore).
  • Submit the application entirely in English.
  • Be available to work hours that overlap with U.S. business hours.

Imtiyozlar

  • Work remotely from anywhere permitted by the role's location requirements.
  • Join a workplace committed to inclusion and non-discrimination.
  • Request accommodations for disabilities or special needs.

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