Karat
Karat
Karat ir personāla tehnoloģiju un SaaS uzņēmums, kas koncentrējas uz tehnisko darbinieku atlases uzlabošanu organizācijās. Tā platforma apvieno tehnoloģijas ar ekspertu vadītām intervijām, lai nodrošinātu nepārtrauktu interviju kapacitāti, konsekventu novērtēšanu un kandidātiem saistošāku pieredzi. Karat palīdz uzņēmumiem paplašināt inženierzinātņu speciālistu atlasi, neuzliekot visu interviju slogu iekšējām komandām, vienlaikus atbalstot taisnīgāku novērtēšanu, iekšējo mobilitāti un globālas darbā pieņemšanas programmas. Platforma ir izstrādāta, lai iekļautos esošajās personāla atlases darbplūsmās un nodrošinātu darba devējiem uzticamu veidu tehnisko talantu novērtēšanai.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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